Relevant bibliographies by topics / Gear condition monitoring

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Gear condition monitoring'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Gear condition monitoring"

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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Gear condition monitoring"

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Al-Arbi, Salem. "Condition monitoring of gear systems using vibration analysis." Thesis, University of Huddersfield, 2012. http://eprints.hud.ac.uk/id/eprint/17821/.

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It is often impractical to measure vibrations directly at /or close to their sources when condition monitoring gearbox systems. It is common to measure the vibration distant from the source due to limited access to the component which is to be monitored. In addition, operating the gearbox under different loads and speeds also produces vibration signals within different components. Vibration measured in this way may be significantly distorted by the effect of signal transmission paths and interference from other sources. Therefore, suppression of distortions is a key issue for remote measuremen
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Lin, Shui-Town. "Gear condition monitoring by wavelet transform of vibration signals." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318680.

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Chen, Mingxian. "Combining the active control of gear vibration with condition monitoring." Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286755.

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Al-Balushi, Khamis Rajab Nasser. "The use of high frequency stress waves for monitoring gears." Thesis, Cranfield University, 1995. http://dspace.lib.cranfield.ac.uk/handle/1826/10575.

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The aim of this research is to investigate the feasibility of using stress waves for condition monitoring of gears. The project involved setting up an experimental rig, carrying out experimental work, acquiring stress waves signatures, and processing the signals. It has been shown that stress waves can successfully be employed for early detection of incipient gear failure. A experimental gearbox was employed during the experiments. Miniature ultrasound transducers, both sensitive and sufficiently small, were manufactured and installed on the stationary outer race of the rolling element bearing
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Chen, Dajun. "Applications of time-scale representations and artificial neural networks in gear condition monitoring." Thesis, De Montfort University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391569.

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Brethee, Khaldoon F. "Condition monitoring of helical gear transmissions based on vibration modelling and signal processing." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34519/.

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Condition monitoring (CM) of gear transmission has attracted extensive research in recent years. In particular, the detection and diagnosis of its faults in their early stages to minimise cost by maximising time available for planned maintenance and giving greater opportunity for avoiding a system breakdown. However, the diagnostic results obtained from monitored signals are often unsatisfactory because mainstream technologies using vibration response do not sufficiently account for the effect of friction and lubrication. To develop a more advanced and accurate diagnosis, this research has foc
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Ahmaida, Anwar M. "Condition monitoring and fault diagnosis of a multi-stage gear transmission using vibro-acoustic signals." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34755/.

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Gearbox condition monitoring(CM) plays a vital role in ensuring the reliability and operational efficiency of a wide range of industrial facilities such as wind turbines and helicopters. Many technologies have been investigated intensively for more accurate CM of rotating machines with using vibro-acoustic signature analysis. However, a comparison of CM performances between surface vibrations and airborne acoustics has not been carried out with the use of emerging signal processing techniques. This research has focused on a symmetric evaluation of CM performances using vibrations obtained from
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Sannellappanavar, Govindraj. "Early Gear Failure Detection in Fatigue Testing of Driveline Components." Thesis, KTH, Maskinkonstruktion (Inst.), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276672.

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Early failure detection has been an integral part of condition monitoring of critical systems, such as wind turbines and helicopter rotor drivetrains. An unexplored application of early failure detection is fatigue testing of driveline components. On many occasions, driveline components fail catastrophically, leaving no evidence of the root cause of failure and causing extensive damage to test equipment. This can be prevented by detecting failure in its early stages. Test specimen would be preserved, enabling correlation of test results with design predictions. In this thesis, a method for ear
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Ali, Emad, Jürgen Weber, and Matthias Wahler. "A Machine Learning Approach for Tracking the Torque Losses in Internal Gear Pump - AC Motor Units." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-199438.

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This paper deals with the application of speed variable pumps in industrial hydraulic systems. The benefit of the natural feedback of the load torque is investigated for the issue of condition monitoring as the development of losses can be taken as evidence of faults. A new approach is proposed to improve the fault detection capabilities by tracking the changes via machine learning techniques. The presented algorithm is an art of adaptive modeling of the torque balance over a range of steady operation in fault free behavior. The aim thereby is to form a numeric reference with acceptable accura
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Krumins, Armands. "Gearbox fault detection, based on Machine Learning of multiple sensors." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301603.

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The increasing demand for higher efficiency and lower environmental impact of transmissions, used in automotive and wind energy industries has created a need for more advanced technical solutions to fulfil those requirements. Condition monitoring plays an important role in the transmission life cycle, saving resources and time. Recently condition monitoring, using machine learning has shifted from reactive to proactive action, predicting minor faults before they become significant. This thesis intends to develop a methodology that can be used to predict faults like pitting initiation, before p
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Books on the topic "Gear condition monitoring"

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Chen, Dajun. Applications of time-scale representations and artificial neural networks in gear condition monitoring. De Montfort University, 1998.

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Collacott, Ralph Albert. Gears: An introduction to condition monitoring of gears. Institution of Diagnostic Engineers, 1990.

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Book chapters on the topic "Gear condition monitoring"

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Badi, M. N. M., D. J. Dell, and A. E. Fellows. "Alternative Methods of Diagnosing Gear Box Faults." In Profitable Condition Monitoring. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1616-9_22.

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Hammami, Ahmed, Miguel Iglesias Santamaria, Alfonso Fernandez Del Rincon, Fakher Chaari, Fernando Viadero Rueda, and Mohamed Haddar. "Load Sharing Behavior in Planetary Gear Set." In Applied Condition Monitoring. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14532-7_47.

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Merzoug, Mustapha, Khalid Ait-Sghir, Abdelhamid Miloudi, Jean Paul Dron, and Fabrice Bolaers. "Early Detection of Gear Failure by Vibration Analysis." In Applied Condition Monitoring. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14532-7_8.

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Lafi, Wassim, Fathi Djmal, Ali Akrout, Lassad Walha, and Mohamed Haddar. "Modal Analysis of the Differential Bevel Gear with Uncertainties." In Applied Condition Monitoring. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85584-0_6.

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Hammami, Maroua, Mohamed Slim Abbes, Ramiro Martins, Jorge H. O. Seabra, and Mohamed Haddar. "Losses in Thrust Ball Bearings Lubricated with Axle Gear Oils." In Applied Condition Monitoring. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94616-0_3.

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Hammami, Ahmed, Alfonso Fernandez del Rincon, Fakher Chaari, Fernando Viadero Rueda, and Mohamed Haddar. "Transfer Path Analysis of Planetary Gear with Mechanical Power Recirculation." In Applied Condition Monitoring. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96181-1_10.

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Younes, Ramdane, Nouredine Ouelaa, Nacer Hamzaoui, and Abderrazek Djebala. "Experimental Study of Combined Gear and Bearing Faults by Sound Perception." In Applied Condition Monitoring. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41459-1_14.

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Mbarek, Ayoub, Ahmed Hammami, Alfonso Fernández Del Rincón, Fakher Chaari, Fernando Viadero Rueda, and Mohamed Haddar. "Early Damage Detection in Planetary Gear Transmission in Down-Time Regime." In Applied Condition Monitoring. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85584-0_4.

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van Eyk, Luke, P. Stephan Heyns, and Stephan Schmidt. "A Short Review of Gear Fault Modelling in a Hybrid Modelling Context." In Applied Condition Monitoring. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85584-0_24.

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Bouslema, Marwa, Taher Fakhfakh, Rachid Nasri, and Mohamed Haddar. "Vibration Analysis of Planetary Gear Connected by Flexible Coupling Using Substructuring Methodology." In Applied Condition Monitoring. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85584-0_20.

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Conference papers on the topic "Gear condition monitoring"

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Vanraj, Sukhdeep S. Dhami, and B. S. Pabla. "Gear fault classification using Vibration and Acoustic Sensor Fusion: A Case Study." In 2018 Condition Monitoring and Diagnosis (CMD). IEEE, 2018. http://dx.doi.org/10.1109/cmd.2018.8535974.

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Ozkirim, Mustafa, C. Erdem Imrak, and Hakan Uzunoglu. "Condition Monitoring of Lift Gear Boxes by Means of Sound Analysis." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58007.

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The method of Condition Monitoring (CM) or Condition Based Maintenance (CBM) of machinery is straightforward since it aims to identify the changes in the condition of a machine during operation that will indicate some potential failure. This is achieved by utilizing various techniques such as Thermography, Oil Analysis and Ultrasonics. For all maintenance engineers’ diagnosis of gear defects by using sound analysis may be an effective technique in that it provides economic and continuous fault monitoring. In the study, in order to detect the defects in worm gears driven by electric motors, the
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Wen, Danli, Shuwei Huang, and Guangyu Yu. "Condition monitoring and fault diagnosis of ball mill gear." In 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8408314.

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Xue, Xin, V. Sundararajan, and Luis Gonzalez. "Gear Condition Monitoring and Classification Using Wireless Sensor Networks." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14895.

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Current research in wireless sensor networks has chiefly focused on environmental monitoring applications. Wireless sensors are emerging as viable instrumentation techniques for industrial applications because of their flexibility, non-intrusive operation, safety and their low cost, low power characteristics. We describe a prototype gear condition monitoring system incorporating wireless sensors. Measurements of strain on gear teeth, vibration and temperature were undertaken using strain gage, accelerometer, and thermistors, respectively. The sensors interface to a sensor board that is connect
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Jia, Yi, and Pablo D. Quinones. "Gear Surface Temperature Monitoring." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/ptg-48128.

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Frictional heating from rolling and sliding contacts of gear teeth is of extreme importance for monitoring the health of a gear transmission under its continuing operation. The surface temperature holds the critical information about a gear’s health condition. A new power circulating gear test rig with a multichannel computer data acquisition system has been built to develop various sensor technologies for surface temperature evaluation of gear teeth. In this paper, the surface temperature monitoring of gear tooth will be presented by using miniature thermocouples. Five miniature type-K thermo
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Wang, Dong, Qiang Miao, Chengdong Wang, and Jingqi Xiong. "Automatic Condition Monitoring and Early Fault Detection of Gearbox." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86469.

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Condition based maintenance (CBM) improves decision-making performances for a maintenance program through machinery condition monitoring. Therefore, it is a key step to trace machinery health condition for CBM. In this paper, a novel method is proposed to establish a health evaluation index named automatic evaluation index (AEI) and its corresponding dynamic threshold using Wavelet Packet Transform (WPT) and Hidden Markolv Model (HMM). In this process, WPT is used to decompose signal into detail signals and exhibits prominent gear fault features. In addition, HMM employed here is to recognize
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Brzezinski, A. J., Y. Wang, D. K. Choi, X. Qiao, and J. Ni. "Feature-Based Tool Condition Monitoring in a Gear Shaving Application." In ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing. ASMEDC, 2008. http://dx.doi.org/10.1115/msec_icmp2008-72297.

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Condition monitoring (CM) is an effective way to improve the tool life of a cutting tool. However, CM techniques have not been applied to monitor tool wear in an industrial gear shaving application. Therefore, this paper introduces a novel, sensor-based, data-driven, tool wear estimation method for monitoring gear shaver tool condition. The method is applied on an industrial gear shaving machine and used to differentiate between four different tool wear conditions (new, slightly worn, significantly worn, and broken). This research focuses on combining, expanding, and implementing CM techniques
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Qiang Xu, De Tian, D. G. Infield, and Yongqian Liu. "Towards more reliable wind turbines: models for gear condition monitoring." In International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.1835.

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Dorigo, Daniel D., Benjamin R. Wiesent, Özlem Simsek, A. Pérez Grassi, and Alexander W. Koch. "Fluorescence spectroscopy: a promising tool for gear-oil condition monitoring." In SPIE Photonics Europe, edited by Francis Berghmans, Anna G. Mignani, and Piet De Moor. SPIE, 2012. http://dx.doi.org/10.1117/12.922628.

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Yang, Lu, Lei Xie, Jie Wang, Dong Wang, and Qiang Miao. "Current Progress on Wind Turbine Gearbox Condition Monitoring and Health Evaluation." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63945.

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As a type of clean and renewable energy source, wind power is growing fast as more and more countries lay emphasis on it. At the end of 2011, the global wind energy capacity reached 238 GW, with a cumulative growth of more than 20% per year, which is certainly a respectable figure for any industry. There is an exigent need to reduce the costs of operating and maintaining wind turbines while they became one of the fastest growing sources of power production in the world today. Gearbox is a critical component in the transmission system of wind turbine generator. Wind turbine gearbox operates in
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