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Journal articles on the topic 'Gear condition monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Alwadie, Abdullah. "A Real Time Condition Monitoring System for Gears Operating under Variable Load Conditions." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 2 (2018): 493. http://dx.doi.org/10.11591/ijeecs.v9.i2.pp493-501.

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Gears are important component of the rotational power transmission system and are largely used in variable load and speed applications. The faults on the gear generate excessive vibration which leads to breakdown of the machine. Sensor based methods could diagnose gear faults but proved to be expensive and have limited applications due to heavy cost and need of access of gear box for sensor installation. The motor stator current analysis has been reported to overcome the drawbacks of the sensor based fault detection methods. However, motor stator current analysis has a limited capability for r

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2

Yi, J., and P. D. Quiñónez. "Gear surface temperature monitoring." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 219, no. 2 (2005): 99–105. http://dx.doi.org/10.1243/135065005x9745.

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Frictional heating from rolling and sliding contacts of gear teeth is of extreme importance for monitoring the condition of a gear transmission under its continuing operation. The surface temperature holds the critical information about the condition of a gear. A new power circulating gear test rig with a multichannel computer data acquisition system was built to develop various sensor technologies for gear surface temperature monitoring. In this paper, gear surface temperature monitoring will be presented by using miniature thermocouples. Five miniature type-K thermocouples of 125 μm in diame

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3

Kumar, Paras, Harish Hirani, and Atul Kumar Agrawal. "Online condition monitoring of misaligned meshing gears using wear debris and oil quality sensors." Industrial Lubrication and Tribology 70, no. 4 (2018): 645–55. http://dx.doi.org/10.1108/ilt-05-2016-0106.

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Purpose This paper aims to investigate the effect of misalignment on wear of spur gears and on oil degradation using online sensors. Design/methodology/approach The misalignment effect on gears is created through a self-alignment bearing, and is measured using laser alignment system. Several online sensors such as Fe-concentration sensor, moisture sensor, oil condition sensor, oil temperature sensor and metallic particle sensor are installed in the gear test rig to monitor lubricant quality and wear debris in real time to assess gearbox failure. Findings Offset and angular misalignments are de

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4

Ziaja, Aleksandra, Tomasz Barszcz, and Wieslaw Jerzy Staszewski. "Wavelet-Based Variance Analysis for Condition Monitoring of Gears." Key Engineering Materials 588 (October 2013): 343–51. http://dx.doi.org/10.4028/www.scientific.net/kem.588.343.

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Gears faults are one of the most common issues in rotating machinery. If not detected on time, they may result in severe dysfunction of the kinematic chain or even in catastrophic breakdown of the whole mechanism. Vibration based methods dedicated to gears monitoring are widely studied and applied techniques, that in majority rely on comparison of some spectral features. In this paper, however, the method based on fractal theory and wavelet decomposition is studied for possible application to gears diagnostics. The discussed technique may serve as a tool for signal contraction and/or signals c

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5

Ismon, Maznan, Izzuddin Zaman, and Mohd Imran Ghazali. "Condition Monitoring of Variable Speed Worm Gearbox Lubricated with Different Viscosity Oils." Applied Mechanics and Materials 773-774 (July 2015): 178–82. http://dx.doi.org/10.4028/www.scientific.net/amm.773-774.178.

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Over the years, condition monitoring of gear transmission systems have captured significant worldwide attention from both industries and academia. This is in light of the fact that an effective condition monitoring techniques will unquestionably extend the life span of the rotating equipment. In this research, both the vibration and temperature monitoring techniques were utilized to characterize the vibration behavior of worm gear as function of gear lubricant’s viscosity. Three different types of lubricant’s viscosity; VG100, VG460 and VG680 were used in the study to serve the sliding frictio

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6

Andrade, F. A., I. I. Esat, and M. N. M. Badi. "Gear condition monitoring by a new application of the Kolmogorov—Smirnov test." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 215, no. 6 (2001): 653–61. http://dx.doi.org/10.1243/0954406011524027.

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This paper introduces a new technique for the vibration condition monitoring of a set of spur gears. This technique, the Kolmogorov—Smirnov (KS) test, is based on a statistical comparison of two vibration signatures, which tests the ‘null hypotheses that the cumulative density function (CDF) of a target distribution is statistically similar to the CDF of a reference distribution’. In practice, the KS test is a time-domain signal processing technique that compares two signals and returns the likelihood that the two signals are statistically similar (i.e. have the same probability distribution f

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7

Gu, Hong Qiang, and Jian Min Zhao. "Evaluating Sensor Placement for System Health Condition Monitoring." Applied Mechanics and Materials 220-223 (November 2012): 1838–42. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1838.

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In this paper, an evaluation method of sensor placement is proposed for an optimal design of health condition monitoring systems. An evaluation procedure is presented which includes failure mode and effect analysis, testability analysis, choice of evaluation indexes, and implementing evaluation. A hidden semi-Markov model is employed to evaluation the effectiveness of sensor measurement. The proposed method is applied to a case of gear box vibration monitoring, where the model is validated using the experiment data of gear box monitoring.

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8

Qu, Yongzhi, Liu Hong, Xixin Jiang, et al. "Experimental study of dynamic strain for gear tooth using fiber Bragg gratings and piezoelectric strain sensors." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232, no. 21 (2017): 3992–4003. http://dx.doi.org/10.1177/0954406217744000.

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It has always been a critical task to understand gear dynamics for gear design and condition monitoring. Many gear models have been proposed to simulate gear meshing dynamics. However, most of the theoretical models are based on simplified gear structure and may contain approximation errors. Direct measuring of gear strain is important for gear design validation, load analysis, reliability assessment, gear condition monitoring, etc. Most of the existing studies of tooth strain measurements are performed under static load condition. In this paper, we investigate new measuring techniques using f

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9

Alwadie, A., Irfan Muhammad, and Nordin Saad. "The Fault Detection of Gears of Electromechanical Power Transmission System using Frequency Domain Approach." Renewable Energy and Power Quality Journal 19 (September 2021): 184–88. http://dx.doi.org/10.24084/repqj19.251.

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Electric motors are widely used in the industry and convert electrical power to mechanical power. Gears are connected with the motor shaft for frictionless power transmission. The power transmission efficiency is dropped when the gear teeth is damaged. It causes huge financial loss. There are various commercially available condition monitoring tools for the preventive maintenance and condition monitoring of the gearing systems. However, such tools and techniques are intrusive and costly. This paper presents a non-intrusive approach for timely detection of gear damages and can be integrated to

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10

Saimurugan, M., T. Praveenkumar, P. Krishnakumar, and K. I. Ramachandran. "A Study on the Classification Ability of Decision Tree and Support Vector Machine in Gearbox Fault Detection." Applied Mechanics and Materials 813-814 (November 2015): 1058–62. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.1058.

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Gearbox is the only medium which balances the power and torque relations for the appropriate operating conditions, at very high speeds it controls the power output of the drive unit. Its application is wide in the field of automotive and industries. Condition monitoring of gearbox access the operating condition of the gearbox components such as gears and, bearings to take necessary condition based maintenance to avoid the machine downtime and operation losses. This paper identifies the suitable accelerometer position to acquire vibration signals for identification of gear faults using machine

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11

Jiang, Xu Feng, Fang Liu, and Peng Cheng Zhao. "Gearbox Non-Ferrous Metal Bearing Wear Condition Monitoring Based on Oil Analysis." Applied Mechanics and Materials 164 (April 2012): 73–76. http://dx.doi.org/10.4028/www.scientific.net/amm.164.73.

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Oil comprehensive analysis technologies, which included oil routine physical and chemical analysis, atomic spectroscopic analysis, ferrographic analysis and filtergram analysis, were used to analyse gear oil samples. The results of atomic emission spectrometry and ferrography showed that the quality of the gear oil were normal. But, the result of filtergram particle analysis showed that the gear oil contained many large-size non-ferrous metal wear particles. So this gear box was likely abnormal or not completed. Thus, The organic synthesis of several particle analysis technology is an effectiv

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12

Sun, Xiuquan, Tie Wang, Ruiliang Zhang, Fengshou Gu, and Andrew D. Ball. "Numerical Modelling of Vibration Responses of Helical Gears under Progressive Tooth Wear for Condition Monitoring." Mathematics 9, no. 3 (2021): 213. http://dx.doi.org/10.3390/math9030213.

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Gear wear is a common fault that occurs in a gear transmission system that degrades the operating efficiency and may cause other catastrophic failures such as tooth breakage and fatigue. The progressive wear of a helical gear and its influences on vibration responses are rarely investigated due to the combined effects of the complicated lubrication state and the time-varying characteristic. To fill this gap, a numerical study was put forward to investigate the interactions between gear wear and dynamic response. In this study, an Archard’s wear model with elastohydradynamic lubrication (EHL) e

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13

Feng, Huan Zhi, Wei Liang, Lai Bin Zhang, and Wen Qing Lu. "State Monitoring of Gear Tooth Subject to Varying Work Conditions." Applied Mechanics and Materials 329 (June 2013): 167–71. http://dx.doi.org/10.4028/www.scientific.net/amm.329.167.

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The gear box diagnosis work has received considerable attention in recent years. But diagnosis work on gear box subject to varying work condition hasnt got much attention. A diagnosis and state monitor method based on vibration signal is proposed in this paper. The signal is de-nosied by SVD (singular value decomposition). Then specific frequency band is extracted by wavelet transform. Normal state and failure state is seperated by dimensionless time-indexes. Finally, health index of gear tooth used to monitor gear state is calculated by regularization. Simulate signal and experiment signal ar

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14

Praveen, M. R., and M. Saimurugan. "Health Monitoring of a Gear Box Using Vibration Signal Analysis." Applied Mechanics and Materials 813-814 (November 2015): 1012–17. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.1012.

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A gear plays a crucial role in the performance of a gear box. The faults in a gear reduces the gear life and if problem arises in shaft it affects bearing. Gear box is finally affected due to these faults. Vibration signals carries information about condition of a gear box which are captured using piezoelectric accelerometer. In this paper, features are extracted and classified using K nearest neighbours (KNN) algorithms for both time and frequency domain. The effectiveness of KNN in classification of gear faults for both time and frequency domain is discussed and compared.

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15

Zhang, Xinghui, Jianshe Kang, Lei Xiao, and Jianmin Zhao. "Alpha Stable Distribution Based Morphological Filter for Bearing and Gear Fault Diagnosis in Nuclear Power Plant." Science and Technology of Nuclear Installations 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/460131.

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Gear and bearing play an important role as key components of rotating machinery power transmission systems in nuclear power plants. Their state conditions are very important for safety and normal operation of entire nuclear power plant. Vibration based condition monitoring is more complicated for the gear and bearing of planetary gearbox than those of fixed-axis gearbox. Many theoretical and engineering challenges in planetary gearbox fault diagnosis have not yet been resolved which are of great importance for nuclear power plants. A detailed vibration condition monitoring review of planetary

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16

Akl, Sayed Y., and Ahmed A. Abdel-Rehim. "Condition Monitoring of a Gear-Box Using Wear Particle Analysis Technique." Advanced Materials Research 1125 (October 2015): 511–15. http://dx.doi.org/10.4028/www.scientific.net/amr.1125.511.

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Wear particle analysis as a nondestructive evaluation technique is an effective method to determine the lubricating oil conditions within different lubricated machines, thus monitoring wear modes and imminent failures in these machines, such as gear-boxes and engines. Ferrographic analysis of wear particles in lubricating oil could give complete information about ferrous and non-ferrous solid debris present in the oil sample. Spectrometric oil analysis could give a direct measure of elemental metal content in the oil such as Iron, Aluminum, Lead and Cupper. These techniques provide cheap, fast

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17

Berlato, Francesco, Gianluca D'Elia, Mattia Battarra, and Giorgio Dalpiaz. "Condition monitoring indicators for pitting detection in planetary gear units." Diagnostyka 21, no. 1 (2020): 3–10. http://dx.doi.org/10.29354/diag/116079.

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18

Rezaei, A., A. Dadouche, R. Anderson, and M. Lipsett. "Multi-sensor-based framework for gear condition monitoring – Part I." International Journal of Condition Monitoring 6, no. 1 (2016): 17–25. http://dx.doi.org/10.1784/204764216819257169.

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Rezaei, A., and A. Dadouche. "Multi-sensor-based framework for gear condition monitoring – Part II." International Journal of Condition Monitoring 7, no. 1 (2017): 16–24. http://dx.doi.org/10.1784/204764217820440973.

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20

Amarnath, Muniyappa. "Local Fault Assessment in a Helical Geared System via Sound and Vibration Parameters Using Multiclass SVM Classifiers." Archives of Acoustics 41, no. 3 (2016): 559–71. http://dx.doi.org/10.1515/aoa-2016-0054.

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Abstract A gear system transmits power by means of meshing gear teeth and is conceptually simple and effective in power transmission. Thus typical applications include electric utilities, ships, helicopters, and many other industrial applications. Monitoring the condition of large gearboxes in industries has attracted increasing interest in the recent years owing to the need for decreasing the downtime on production machinery and for reducing the extent of secondary damage caused by failures. This paper addresses the development of a condition monitoring procedure for a gear transmission syste

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21

Abboud, D., M. Elbadaoui, S. Becquerelle, and M. Lalmi. "The application of the cyclic coherence for distributed planet fault detection in planetary gears." International Journal of Condition Monitoring 8, no. 2 (2018): 58–63. http://dx.doi.org/10.1784/204764218823029075.

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The vibration-based condition monitoring of planetary gears is a highly active and challenging field of research. Many signal processing techniques have been proposed, with the aim of promoting the fault component in the signal and, consequently, highlighting the fault signature (ie the damage symptom). Most of these techniques consider the fault contribution as being deterministic, which is true in the case of an advanced and localised fault. Such techniques may fail in other scenarios in which, for instance, the fault is of a distributed nature and its vibrational component is weak. In such

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22

Raadnui, Surapol. "Condition monitoring of worm gear wear and wear particle analysis of industrial worm gear sets." Wear 476 (July 2021): 203687. http://dx.doi.org/10.1016/j.wear.2021.203687.

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23

Wu, Chuan Hui, Yu Guo, and Ya Jun Fan. "Gear Vibration Monitoring System Based on Virtual Instruments." Applied Mechanics and Materials 187 (June 2012): 161–64. http://dx.doi.org/10.4028/www.scientific.net/amm.187.161.

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Vibration analysis is widely used for gear faults diagnosis. A gear vibration monitoring system based on virtual instrument developing platform LabVIEW and vibration analysis technology is developed and introduced in this paper. It satisfies the requirements of machinery condition monitoring and supports function expansion. Online and offline monitoring of gear running states can be realized though this system in both time domain, frequency domain and joint time –frequency domain. Experiments showed that this gear vibration monitoring system can be widely employed in gearbox. System not only g

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24

Pullin, Rhys, A. Clarke, Mark J. Eaton, Karen M. Holford, S. L. Evans, and J. P. McCory. "Detection of Cracking in Gear Teeth Using Acoustic Emission." Applied Mechanics and Materials 24-25 (June 2010): 45–50. http://dx.doi.org/10.4028/www.scientific.net/amm.24-25.45.

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The detection of damage in gear teeth is paramount to any condition monitoring or structural health monitoring (SHM) tool for aerospace power transmissions such as those used in helicopters. Current inspection techniques include vibration analysis and time-inefficient visual inspection. Acoustic Emission (AE) is a very sensitive detection tool that has been successfully used in many SHM systems. Successful application of AE for damage detection in gear teeth will enable the optimisation of gear box design (and hence weight saving) in addition to safety improvements. This paper details a small

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25

Zhu, Hao, Yu Mei Hu, and Yi Min Shao. "Accuracy Analysis of Gear Root Strain Test under Different Rotational Speed." Advanced Materials Research 1030-1032 (September 2014): 1142–46. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1142.

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Involute helical gears, with advantages of large carrying capacity, smooth transmission and long life, etc., are widely used in automotive, mining, helicopters and other high-speed and heavy-load transmission system. Poor working conditions lead to fatigue crack and other faults of gear key parts such as tooth root and tooth face. To identify the root causes of gear faults, strain monitoring methods are often used to monitor the stress changes of gear key parts so as to work out individualized improvement plants. Good test results can be obtained using real-time wireless data collection techno

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Bajrić, Rusmir, Ninoslav Zuber, and Safet Isić. "Recent Advances in Vibration Signal Processing Techniques for Gear Fault Detection-A Review." Applied Mechanics and Materials 430 (September 2013): 78–83. http://dx.doi.org/10.4028/www.scientific.net/amm.430.78.

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This paper provides a review of the literature, progress and changes over the years on fault detection of gears using vibration signal processing techniques. Analysis of vibration signals generated by gear in mesh has shown its usefulness in industrial gearbox condition monitoring. Vibration measurement provides a very efficient way of monitoring the dynamic conditions of a machine such as gearbox. Various vibration analysis methods have been proposed and applied to gear fault detection. Most of the traditional signal analysis techniques are based on the stationary assumption. Such techniques

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27

Yao, Zhu Ting, and Hong Xia Pan. "Fault Diagnosis of the Armored Vehicle Gear Transmission System Based on Response Analysis." Applied Mechanics and Materials 533 (February 2014): 342–45. http://dx.doi.org/10.4028/www.scientific.net/amm.533.342.

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Gear transmission system is as an important part of the armored vehicle, and its work reliability is directly related to the working performance of the armored vehicle. Based on introducing the need on condition monitoring and fault diagnosis of gear transmission system, the response methods on condition monitoring and fault diagnosis are expressed in the gear transmission system. Finally, an armored vehicle transmission system is as the research object, the test point selection, data acquisition and processing is studied. The paper shows how to use differ method such as the amplitude domain,

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28

Hala, Roger. "System And Method For Monitoring The Condition Of A Gear Assembly." Journal of the Acoustical Society of America 130, no. 6 (2011): 4180. http://dx.doi.org/10.1121/1.3669202.

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29

Wan, Shi Qiang, Chun Hua Zhao, Hai Jiang Dong, Wei Wang, and Xian You Zhong. "Study on Wear Life Prediction of Wind Turbine Helical Gear." Advanced Materials Research 904 (March 2014): 340–44. http://dx.doi.org/10.4028/www.scientific.net/amr.904.340.

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The paper analyzed on wear failure mechanism of the helical gear of wind turbine. Then, according to the characteristics of the gear transmission, the helical gear integrated wear value was calculated. Considering gear transmission steadily, the ultimate integrated wear quantity was determined by gear transmission accuracy. Finally, the helical gear wear life model was derived, which had an important guiding significance on the wear life prediction of helical gear pair, gear parameter optimization design and wear condition monitoring.

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Wei, Xie Ben, Wen Zheng, and Rong Lin. "Design of LabView-Based System of Noise Measurement on Gear Box." Advanced Materials Research 328-330 (September 2011): 2167–71. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.2167.

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The gear box is widely used in rotating machinery equipments, also it is a key component of the machinery equipment. Gear box, once it is failure, will cause serious machinery equipments failure, so the condition monitoring and fault diagnosis research of the gear box is very necessary. Its state of running and fault diagnosis can be acquired through measuring and analysis the noise of gear box. A feasible on-line LabView-based system of noise measurement on the gear box is designed by Using NI's hardware and other ordinary sound-tested equipments in teaching laboratory, as well as its applied

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31

Tan, C. K., and D. Mba. "Experimentally Established Correlation between Acoustic Emission Activity, Load, Speed, and Asperity Contact of Spur Gears Under Partial Elastohydrodynamic Lubrication." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 219, no. 6 (2005): 401–9. http://dx.doi.org/10.1243/135065005x34099.

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The application of the acoustic emission (AE) technique to condition monitoring of gears is still at a developmental stage. Understanding the source of AE activity at the gear mesh is fundamental if this technique is to be successfully employed for gear diagnostics and prognostics. This article presents results of an experimental programme that showed a correlation between AE r.m.s. activity and asperity contact under partial elastohydrodynamic lubrication. On the basis of experimental observations, it is postulated that AE can monitor and/or measure the effectiveness of a lubricant in minimiz

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32

Sonawane, Pavankumar Ravindra, and M. Chandrasekaran. "Investigation of gear pitting defect using vibration characteristics in a single-stage gearbox." International Journal of Electrical Engineering & Education 57, no. 3 (2018): 272–78. http://dx.doi.org/10.1177/0020720918813837.

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Gearboxes are the important components in process industries such as cement, food processing and rubber. Pitting is the removal of the material in certain part of gear by the application of repeated stresses. Tooth pitting and surface failure occur due to excessive stress conditions. When a number of pits join together, a larger pit is formed, referred as a spall, which may lead to tooth breakage. The early detection and diagnosis of excessive wear tooth pitting and spalling in gear transmission systems are becoming significant concerns in high-speed, large power applications. The early detect

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Szczepanik, Andre, Ian Roy, and B. T. Kuhnell. "Vibration and Stress Analysis for Condition Monitoring of Symon Cone Crushers." Journal of Vibration and Acoustics 112, no. 2 (1990): 268–73. http://dx.doi.org/10.1115/1.2930122.

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Condition-Monitoring of the crusher frames, using stress and vibration analysis, is described. It is shown that the meshing clearances between the countershaft pinion and the eccentric ring gear are critical to safe operation. It also is shown that shock stresses occur for very small close-side settings and these stresses are caused by lateral vibration of the relief springs.

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Lokesha, M., M. C. Majumder, and K. P. Ramachandran. "Fault Detection and Diagnosis in Gears Using Wavelet Analysis Techniques and Comparison on their Diagnostic Capability." Applied Mechanics and Materials 789-790 (September 2015): 587–91. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.587.

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The concept of vibration based condition monitoring technology has been developing at a rapid stage in the recent years suiting to the maintenance of sophisticated and complicated machines. Nowadays, wavelet analysis based signal processing technique is applied as effective tool for condition monitoring. The experimental studies were conducted on the gear testing apparatus to obtain the vibration signal from a healthy gear and an induced faulty gear. In this paper, two different techniques using Laplace wavelet as base function are used to characterize the fault in the gear signals, specifical

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Li, Mao Sheng, and Qun Gui Du. "Lubricating Characteristic Analysis on Automobile Continuously Variable Transmission." Applied Mechanics and Materials 529 (June 2014): 321–25. http://dx.doi.org/10.4028/www.scientific.net/amm.529.321.

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In order to conduct lubricating characteristic analysis on automobile continuously variable transmission, this paper divides overall model of transmission on the basis of the idea of blocking simulation. Then it generates shed oil model of differential mechanism and oil gathering model of oil groove. Set monitoring surface at the position of reverse gear shaft catcher groove in shed oil model of differential mechanism and oil groove in oil gathering model of oil groove to monitor its conditions of oil-taking. Consider the received flow from the two monitoring surfaces in simulation process as

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Wang, W. J., and P. D. McFadden. "Decomposition of Gear Motion Signals and Its Application to Gearbox Diagnostics." Journal of Vibration and Acoustics 117, no. 3A (1995): 363–69. http://dx.doi.org/10.1115/1.2874462.

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The decomposition of gear motion and the related dynamic measurements for the condition monitoring and fault diagnosis of gearboxes are described. The motion error signal is separated according to fundamental frequencies into the harmonic error and the residual error, which are used to quantify the gear condition. High-order accelerations, such as jerk, are considered and shown to be more sensitive to some classes of early damage to gear teeth. Analysis of the time domain average of a gearbox casing vibration signal enables early detection of gear damage. Several methods to represent and enhan

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Guan, Zheng Rong, Jun Ping Li, and Xin Wu Wang. "Research on Condition Monitoring and Fault Diagnosis of Metallurgical Machinery and Equipment." Applied Mechanics and Materials 52-54 (March 2011): 504–10. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.504.

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Using the signal amplitude domain, frequency domain, bearing shock pulse measurement of bearings, gear boxes, motors and other rotating machinery vibration parameters for key components, through the accumulation of historical data and diagnosis, to predict in advance of equipment failure, for maintenance work to help provide a reliable and assurance purposes. The results show that the system does for the routine maintenance of production equipment has played a guiding role.

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Abdul, Zrar Kh, Abdulbasit Al-Talabani, and Ayub O. Abdulrahman. "A New Feature Extraction Technique Based on 1D Local Binary Pattern for Gear Fault Detection." Shock and Vibration 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/8538165.

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Gear fault detection is one of the underlying research areas in the field of condition monitoring of rotating machines. Many methods have been proposed as an approach. One of the major tasks to obtain the best fault detection is to examine what type of feature(s) should be taken out to clarify/improve the situation. In this paper, a new method is used to extract features from the vibration signal, called 1D local binary pattern (1D LBP). Vibration signals of a rotating machine with normal, break, and crack gears are processed for feature extraction. The extracted features from the original sig

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Resendiz-Ochoa, Emmanuel, Juan J. Saucedo-Dorantes, Juan P. Benitez-Rangel, Roque A. Osornio-Rios, and Luis A. Morales-Hernandez. "Novel Methodology for Condition Monitoring of Gear Wear Using Supervised Learning and Infrared Thermography." Applied Sciences 10, no. 2 (2020): 506. http://dx.doi.org/10.3390/app10020506.

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In gearboxes, the occurrence of unexpected failures such as wear in the gears may occur, causing unwanted downtime with significant financial losses and human efforts. Nowadays, noninvasive sensing represents a suitable tool for carrying out the condition monitoring and fault assessment of industrial equipment in continuous operating conditions. Infrared thermography has the characteristic of being installed outside the machinery or the industrial process under assessment. Also, the amount of information that sensors can provide has become a challenge for data processing. Additionally, with th

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Skrickij, Viktor, Marijonas Bogdevičius, and Raimundas Junevičius. "Diagnostic features for the condition monitoring of hypoid gear utilizing the wavelet transform." Applied Acoustics 106 (May 2016): 51–62. http://dx.doi.org/10.1016/j.apacoust.2015.12.018.

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Sahoo, Sudarsan, and Jitendra K. Das. "Application of Adaptive Wavelet Transform for Gear Fault Diagnosis Using Modified-LLMS Based Filtered Vibration Signal." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 12, no. 3 (2019): 257–62. http://dx.doi.org/10.2174/2352096511666180525123616.

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Background: Vibration signature acquired from a gear mesh can be used to identify the defect present in a gear mesh hence can be used to diagnose the condition of a gear mesh. But the signal acquired from the subject may not be noise free and may be non stationary. Methods: Before going for the analysis of the acquired signal a preprocessing on the acquired signal is required to make it noise free. In the present work in first phase, the acquired vibration signal is filtered to reduce the noise and to improve the SNR (signal to noise ratio). The filtering is done by an Adaptive Noise Cancellat

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Hutt, S., A. Clarke, R. Pullin, and H. P. Evans. "The acoustic emission from asperity interactions in mixed lubrication." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 475, no. 2227 (2019): 20180900. http://dx.doi.org/10.1098/rspa.2018.0900.

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Gears typically operate in mixed lubrication conditions, where the lubricant film is too thin to prevent opposing surface asperities from interacting with each other. The likelihood/intensity of interactions is indicated by the Λ ratio: the ratio of smooth surface film thickness to surface roughness. Researchers have asserted that asperity interactions are the predominant cause of acoustic emission (AE) in healthy gear contacts. However, direct experiments on gears have yet to yield a clear relationship between the Asperity AE (AAE) and Λ ratio, this is in part due to the complexity of gear to

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Li, Zhi Xiong, Xin Ping Yan, Cheng Qing Yuan, and Li Li. "Gear Multi-Faults Diagnosis of a Rotating Machinery Based on Independent Component Analysis and Fuzzy K-Nearest Neighbor." Advanced Materials Research 108-111 (May 2010): 1033–38. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.1033.

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Gearboxes are extensively used in various areas including aircraft, mining, manufacturing, and agriculture, etc. The breakdowns of the gearbox are mostly caused by the gear failures. It is therefore crucial for engineers and researchers to monitor the gear conditions in time in order to prevent the malfunctions of the plants. In this paper, a condition monitoring and faults identification technique for rotating machineries based on independent component analysis (ICA) and fuzzy k-nearest neighbor (FKNN) is described. In the diagnosis process, the ICA was initially employed to separate characte

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Liu, Yinghui, Dong Zhen, Huibo Zhang, Hao Zhang, Zhanqun Shi, and Fengshou Gu. "Vibration Response of the Planetary Gears with a Float Sun Gear and Influences of the Dynamic Parameters." Shock and Vibration 2020 (August 4, 2020): 1–17. http://dx.doi.org/10.1155/2020/8886066.

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Planetary gearboxes are widely used in mechanical transmission systems due to their large transmission ratio and high transmission efficiency. In a planetary gearbox, the sun gear is usually set to float to balance the sharing of loads among planet gears. However, this floating set will result in the variation of pressure angle, overlap ratio, and meshing phase in the meshing progress and when gear faults occur, the variation will be enlarged. In the previous studies, these parameters were reduced to constant. To study the influence of the dynamic parameters on the vibration response of planet

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Ishin, N. N., A. M. Goman, A. S. Skorokhodov, M. K. Naturjeva, and Yu A. Dakalo. "METHOD FOR ESTIMATING THE RESIDUAL LIFE OF GEARS IN THE INTER-REPAIR PERIOD." Mechanics of Machines, Mechanisms and Materials 2, no. 55 (2021): 5–17. http://dx.doi.org/10.46864/1995-0470-2021-2-55-5-17.

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The aim of the work is to create a computational and experimental method for the operational evaluation of the residual life of spur gears of technically complex products in the inter-repair period by conducting periodic vibration control. The proposed method is based on the main provisions of the theory of vibration-pulse diagnostics of gears developed in the Joint Institute of Mechanical Engineering of the National Academy of Sciences of Belarus. At the same time, the current value of the KV coefficient, which takes into account the internal dynamic load in the engagement of each gear, and i

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Sweeney, P. J., and R. B. Randall. "Gear Transmission Error Measurement Using Phase Demodulation." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 210, no. 3 (1996): 201–13. http://dx.doi.org/10.1243/pime_proc_1996_210_190_02.

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Gear manufacturers in all fields of industry are under increasing pressure to deliver products of high accuracy and which generate ever lower levels of vibration and noise. Over the past decades, transmission error (TE) measurement has become more popular as a means of measurement for research and quality control. However, dedicated measurement systems have often proved incapable of measuring TE under operating conditions. This paper presents an overview of TE measurement techniques and their applications. In addition, an introduction to a versatile and portable method of measurement based on

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Sergeev, Konstantin Olegovich, and Tatiana Pavlovna Volkova. "Application of diagnostics-in-place for determining technical condition of turbo-gear unit reduction gear of Sevmorput LASH carrier." Vestnik of Astrakhan State Technical University. Series: Marine engineering and technologies 2020, no. 2 (2020): 7–14. http://dx.doi.org/10.24143/2073-1574-2020-2-7-14.

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The article discusses the results of diagnostics-in-place of the reduction gear of the main turbo-gear unit (MTGU) of the Sevmorput LASH carrier. The main characteristics and a brief description of the MTGU design are given. The constructive arrangement of the MTGU project684 OM5 has been illustrated. There are substantiated the methods that can be used for diagnostics-in-place of the turbo-gear units: monitoring vibration levels on bearing housings and comparing them with the results of the previous measurement, comparing the third-octave vibration velocity spectra in the frequency band up to

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Chaari, Fakher, Walter Bartelmus, Radoslaw Zimroz, Taher Fakhfakh, and Mohamed Haddar. "Effect of Load Shape in Cyclic Load Variation on Dynamic Behavior of Spur Gear System." Key Engineering Materials 518 (July 2012): 119–26. http://dx.doi.org/10.4028/www.scientific.net/kem.518.119.

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Transmissions including spur gears are widely used in several industrial applications. They are characterized by high efficiency and capability to transmit high torques. A special attention should be made for transmissions running under varying loading conditions which have to be well monitored. The presence of this variability associated with defects that may occur in the transmission will complicate its condition monitoring. The first step to overcome this difficulty is to identify and characterize the dynamic response of the transmission in healthy conditions subjected to variable loading c

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Molenda, Justyna, and Adam Charchalis. "Preliminary Research of Possibility of Using Thermovision for Diagnosis and Predictive Maintenance of Marine Engines." Journal of KONBiN 49, no. 3 (2019): 49–64. http://dx.doi.org/10.2478/jok-2019-0050.

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Abstract Infrared thermography has evolved as an effective condition monitoring tool for real-time temperature monitoring of objects or processes in a noncontact way. This paper presents the results of research conducted with use of infrared camera for monitoring 3AL25/30 engine, especially turbocharger, placed in Marine Engineering Faculty of Gdynia Maritime University. Research was carried out using a thermal camera NEC Thermo Gear G100 with appropriate software. Test results improved that infrared thermography is useful also for monitoring the condition of ship engine equipment, and enable

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Chen, Yuan, Rupeng Zhu, Guanghu Jin, and Yeping Xiong. "Tooth Fracture Detection in Spiral Bevel Gears System by Harmonic Response Based on Finite Element Method." Journal of Control Science and Engineering 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/3169172.

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Spiral bevel gears occupy several advantages such as high contact ratio, strong carrying capacity, and smooth operation, which become one of the most widely used components in high-speed stage of the aeronautical transmission system. Its dynamic characteristics are addressed by many scholars. However, spiral bevel gears, especially tooth fracture occurrence and monitoring, are not to be investigated, according to the limited published issues. Therefore, this paper establishes a three-dimensional model and finite element model of the Gleason spiral bevel gear pair. The model considers the effec

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