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Journal articles on the topic 'Time machine system'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Bansal, Dheeraj, David J. Evans, and Barrie Jones. "A real-time predictive maintenance system for machine systems." International Journal of Machine Tools and Manufacture 44, no. 7-8 (2004): 759–66. http://dx.doi.org/10.1016/j.ijmachtools.2004.02.004.

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Pangsuban, Preecha, Prachyanun Nilsook, and Panita Wannapiroon. "A Real-time Risk Assessment for Information System with CICIDS2017 Dataset Using Machine Learning." International Journal of Machine Learning and Computing 10, no. 3 (2020): 465–70. http://dx.doi.org/10.18178/ijmlc.2020.10.3.958.

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Li, Wenbin, Zhihan Lv, Darren Cosker, and Yongliang Yang. "Learning system in real-time machine vision." Neurocomputing 288 (May 2018): 1–2. http://dx.doi.org/10.1016/j.neucom.2017.12.035.

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Sitompul, Erwin, and Agus Rohmat. "IoT-based Running Time Monitoring System for Machine Preventive Maintenance Scheduling." ELKHA 13, no. 1 (2021): 33. http://dx.doi.org/10.26418/elkha.v13i1.44202.

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Machines are valuable assets that need to be protected from damage and failure through proper maintenance measures. This paper proposes a system that automatically monitors the running time of machines and sends notifications regarding their preventive maintenance (PM) schedules. The system core consists of a programmable logic controller (PLC) and a human machine interface (HMI). The HMI is connected to an online platform via internet connection provided by a router, so that the monitoring result can be accessed via Android smartphone or laptop/PC. This IoT-based running time monitoring syste

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Makarov, Denis, Seirgei Miller, Faridaddin Vahdatikhaki, and André Dorée. "Comprehensive real-time pavement operation support system using machine-to-machine communication." International Journal of Pavement Research and Technology 13, no. 1 (2019): 93–107. http://dx.doi.org/10.1007/s42947-019-0089-x.

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Wong, Tzen Ket, Hou Kit Mun, Swee King Phang, Kai Lok Lum, and Wei Qiang Tan. "Real-time Machine Health Monitoring System using Machine Learning with IoT Technology." MATEC Web of Conferences 335 (2021): 02005. http://dx.doi.org/10.1051/matecconf/202133502005.

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Machine health monitoring is the main focal point for now as many industries are evolving to industry 4.0. Industry 4.0 is the revolution in industrial that involve the Internet of Things (IoT) and artificial intelligence toward automation and data sharing for production efficiency improvement. The existing established methods for machine health monitoring were not in real-time and there was no real-time correction of data from the load and processing of data on the computer. In tracking machine health efficiency this approach wasn’t very successful. Real-time machine health monitoring can imp

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Velmurugan, K., P. Venkumar, and Pandian R. Sudhakara. "SME 4.0: Machine learning framework for real-time machine health monitoring system." Journal of Physics: Conference Series 1911, no. 1 (2021): 012026. http://dx.doi.org/10.1088/1742-6596/1911/1/012026.

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Yanti, Antonia Karima, and Erwin Sitompul. "Designing and Prototyping Record System for Machine Usage Time." Journal of Electrical And Electronics Engineering 2, no. 1 (2019): 1. http://dx.doi.org/10.33021/jeee.v2i1.705.

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Machine cost is one of the components of production cost. Accurate record of machine usage time is thus crucial to obtain accurate production cost calculation. Besides, machine usage time can be used as parameter to assess the performance of the machine operator. Furthermore, the data can be used as input to the machine’s maintenance and reparation plan. The author is motivated by the current problems found at Akademi Teknik Mesin Industri (ATMI) Cikarang, where it is still possible to use one machine simultaneously by more than one operator. This causes inaccuracy in calculation of machine us

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Liu, Jia Lu, and Ai Guo Wu. "Exact Analysis of a Two Stage Production Line with Parallel Unreliable Machines." Applied Mechanics and Materials 130-134 (October 2011): 547–50. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.547.

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This paper proposes a new analytical model of manufacturing system with two parallel machine workstations. The machines in the system are non-identical unreliable machines, and the processing times, failure times and repair times of the machines are assumed to be exponentially distributed. In this paper we for the first time give an exact model of two workstation parallel machine system. Case studies show the accuracy of the proposed model.

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Tan, Kun, De An Zhao, and Jun Zhang. "The Multiple Information Management System Based on GPRS and GPS Technology." Advanced Materials Research 616-618 (December 2012): 2192–95. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.2192.

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Remote monitoring system of construction machinery equipment is of great significance to successful industrial and agricultural production. Based on the result of intelligent machine fault detection, we have succeeded in collecting remote data of machine tools, conducting the global positioning of machines and real-time recording of the fault information and wireless transmission by making use of the GPRS network technology and the GPS technology. As a result, we can realize a remote real-time monitor of machines which are paid by installments and meet the comprehensive management requirements

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Asakr, Ali. "An English -Arabic Real Time System (EARS)." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 7 (2016): 6898–906. http://dx.doi.org/10.24297/ijct.v15i7.1533.

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Researchers, international traders, and politicians necessitate a common interactive language to deal and keep their work secure. Using a direct language translator enables customers to deal with others, each one uses his own mother languages. This machine fulfills security, and confidence. The translation machines include in their memories, databases for synonyms, and vocabularies for the bi- languages. This system may be used in teleconferences and international political committees. This paper presents a modular system that translates Arabic toÂ English and English to Arabic (AE-EA) via a r

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12

Chen, J. S., J. X. Yuan, J. Ni, and S. M. Wu. "Real-time Compensation for Time-variant Volumetric Errors on a Machining Center." Journal of Engineering for Industry 115, no. 4 (1993): 472–79. http://dx.doi.org/10.1115/1.2901792.

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An error compensation system has been developed to enhance the time-variant volumetric accuracy of a 3-axis machining center by correcting the existing machine errors through sensing, metrology, and computer control techniques. A general methodology has been developed to synthesize both the geometric and thermal errors of machines into a time-variant volumetric error model. Instead of the well-known 21 geometric error components, 32 machine linkage errors are formulated as a 4D error field including the space domain and the time domain. Different types of models are proposed for different kind

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Chen, Shao Ke. "Control System Design of Automatic Feeding Machine." Applied Mechanics and Materials 157-158 (February 2012): 466–71. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.466.

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The research of the control system of automatic feeding machine in the present paper can be applied in different mechanical designs – from simple key-press input of cycling days, multiple time intervals and the feeding amount to setting steps of numbers of stepping motor via the control of SMC by time setting. This not only realizes the objective of “fixed-time” and “fixed-quantity” feeding, but also solves the problems of serious leaking, high failure rate, and loud noises during the process of using warehouse-type feeding machines, which brings favorable economic and social benefits for ente

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Usubamatov, R., and R. Bhuvenesh. "Method of Assessing the Number of Technicians in Service of Manufacturing System." Journal for Manufacturing Science and Production 15, no. 3 (2015): 243–48. http://dx.doi.org/10.1515/jmsp-2015-0005.

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AbstractProductivity rate of manufacturing systems depends on technology, reliability of machinery, management, etc. The main attribute of machine’s reliability, which is availability plays important role for determination of the number of technicians that support the workability of the multi-stations the manufacturing system. The random downtimes of the productive machines have probabilistic nature. Failures of machines can coincide that lead to increasing downtimes and decreasing output of machinery. Practically, a technician conducts repairs of failures for one machine, but at the same time

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Haggrén, Henrik. "REAL-TIME PHOTOGRAMMETRY AS USED FOR MACHINE VISION APPLICATIONS." Canadian Surveyor 41, no. 2 (1987): 201–8. http://dx.doi.org/10.1139/tcs-1987-0015.

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A photogrammetric machine vision system, called Mapvision, has been developed at the Technical Research Centre of Finland. The paper deals with the principles of real-time photogrammetry as applied to machine vision. There is a brief overview of the present machine vision markets and the commercial systems available. The practical examples presented concern the tentative experiences in applying the Mapvision and its preceding prototype system for industrial inspection and assembly control.

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Son, Sung Hoon. "Design of Virtual Machine Monitor for Embedded Systems." Applied Mechanics and Materials 263-266 (December 2012): 1629–32. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1629.

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Recently virtualization has been one of the most popular research topics in system software area. While there are many commercial virtualization products for general-purpose computer system, little efforts are made to virtualize embedded system. In this paper, we design and implement a virtual machine monitor which divides each physical hardware resource of an embedded system into logical ones and reorganizes them into many virtual machines so that several real-time operating systems run concurrently on a single embedded system. We measure various performance metrics of the virtual machine mon

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Lv, Shengli. "Multi-Machine Repairable System with One Unreliable Server and Variable Repair Rate." Mathematics 9, no. 11 (2021): 1299. http://dx.doi.org/10.3390/math9111299.

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This paper analyzed the multi-machine repairable system with one unreliable server and one repairman. The machines may break at any time. One server oversees servicing the machine breakdown. The server may fail at any time with different failure rates in idle time and busy time. One repairman is responsible for repairing the server failure; the repair rate is variable to adapt to whether the machines are all functioning normally or not. All the time distributions are exponential. Using the quasi-birth-death(QBD) process theory, the steady-state availability of the machines, the steady-state av

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Tao, Jian Hua, Hua Liu, and Xiao Chu Liu. "Open CNC System for Winding Machines." Advanced Materials Research 308-310 (August 2011): 2243–46. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.2243.

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This paper introduces a new open CNC system for winding machines which can overcome the shortcomings the traditional winding machine existed, such as the low control-accuracy, the low speed and the poor quality of its product. The system takes Microprocessor MC68HC000 as the core and its working mode is centralized control and time-sharing processing. The highest drive pulse of the system reaches 500 KPPS and the drive aufloesung can be as high as 0.001mm/Pulse. So, the system software, together with the winding machines’ development kits and operating software, can provide an open design plat

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Schumann, Marco, Marco Witt, and Philipp Klimant. "A Real-time Collision Prevention System for Machine Tools." Procedia CIRP 7 (2013): 329–34. http://dx.doi.org/10.1016/j.procir.2013.05.056.

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CHEN, KAI, KIA MAKKI, and NIKI PISSINOU. "MACHINE LEARNING ON CONGESTION ANALYSIS BASED REAL-TIME NAVIGATION SYSTEM." International Journal on Artificial Intelligence Tools 20, no. 04 (2011): 753–81. http://dx.doi.org/10.1142/s0218213011000346.

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In the metropolitan region, most congestion or traffic jams are caused by the uneven distribution of traffic flow that creates bottleneck points where the traffic volume exceeds the road capacity. Additionally, unexpected incidents are the next most probable cause of these bottleneck regions. Moreover, most drivers are driving based on their empirical experience without awareness of real-time traffic situations. This unintelligent traffic behavior can make the congestion problem worse. Prediction based route guidance systems show great improvements in solving the inefficient diversion strategy

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21

Alfa, Attahiru Sule, and I. T. Castro. "Discrete time analysis of a repairable machine." Journal of Applied Probability 39, no. 03 (2002): 503–16. http://dx.doi.org/10.1017/s0021900200021756.

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We consider, in discrete time, a single machine system that operates for a period of time represented by a general distribution. This machine is subject to failures during operations and the occurrence of these failures depends on how many times the machine has previously failed. Some failures are repairable and the repair times may or may not depend on the number of times the machine was previously repaired. Repair times also have a general distribution. The operating times of the machine depend on how many times it has failed and was subjected to repairs. Secondly, when the machine experienc

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Alfa, Attahiru Sule, and I. T. Castro. "Discrete time analysis of a repairable machine." Journal of Applied Probability 39, no. 3 (2002): 503–16. http://dx.doi.org/10.1239/jap/1034082123.

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We consider, in discrete time, a single machine system that operates for a period of time represented by a general distribution. This machine is subject to failures during operations and the occurrence of these failures depends on how many times the machine has previously failed. Some failures are repairable and the repair times may or may not depend on the number of times the machine was previously repaired. Repair times also have a general distribution. The operating times of the machine depend on how many times it has failed and was subjected to repairs. Secondly, when the machine experienc

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23

Sztrik, J., and O. Moeller. "Simulation of machine interference in randomly changing environments." Yugoslav Journal of Operations Research 12, no. 2 (2002): 237–46. http://dx.doi.org/10.2298/yjor0202237s.

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The simulation tool lcpSim can be used to investigate special level crossing problems of queuing systems of type HYPOk / HYPOr / 1 // n embedded in different Markovian environments (recently referred to as Markov modulated ones). Our observed system consists of n heterogeneous machines (requests) and a server that 'repairs' the broken machines according to the most commonly used service disciplines, such as FIFO, LIFO, PPS, HOL, Preemptive Priorities (Resume, Repeat), Transfer, Polling, Nearest. We specify a maximum number of stopped machines for an operating system and our aim is to give the

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24

Silva, Rafael Franklin Alves, Laurivan Da Silva Diniz, Luiz Henrique Melo Silva Nóbrega, Verílton Nunes Da Silva, and João Bosco De Aquino Silva. "Sistema para pré-ajustagem de ferramentas, utilizando processamento de imagens, aplicado a um centro de usinagem CNC." Revista Principia - Divulgação Científica e Tecnológica do IFPB 1, no. 36 (2017): 141. http://dx.doi.org/10.18265/1517-03062015v1n36p141-156.

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The use of CNC machine tools is widespread in machining companies, because these machines provide a high productive capacity and, additionally, meet the levels of accuracy and precision required by customers. Although CNC technology has a good productivity, some factors have a negative influence on this characteristic, such as the setup time of these machines. Amongst the efforts devoted to reducing unproductive time during the preparation of the machine, it is possible to highlight the development of tools presetting systems, providing a reduction in the unproductive time. Thus, this paper pr

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Et. al., Mathew Chacko,. "Cyber-Physical Quality Systems in Manufacturing." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 2006–18. http://dx.doi.org/10.17762/turcomat.v12i2.1805.

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Digital Twin-based Cyber-Physical Quality System (DT-CPQS) concept involves automated quality checking, simulation, and prediction of manufacturing operations to improve production efficiency and flexibility as part of Industrie4.0 initiatives. DT-CPQS will provide the basis for the manufacturing process to march towards an autonomous quality platform for zero defect manufacturing in the future. Analysing sensor data from the CNC machine and vision monitoring system it was concluded that there was enough signal data to detect quality issues in a part being machined in advance using statistical

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Cui, Gang Wei, Feng Lan Cheng, Dong Gao, Qing Xin Ma, and Yi Lei Liu. "Real-Time Compensation of Ram Thermal Elongation Errors for Heavy-Duty Numerical Control Machine Tool." Advanced Materials Research 317-319 (August 2011): 1964–67. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.1964.

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Thermal error of machine tool is the main in total machine tool error, and obviously impairs the accuracy of the machined workpieces. Ram is a very important component of heavy-duty floor type boring-milling machine, and its thermal deformation is a significant source causing errors in machining process. Aiming at the thermal elongation of heavy type milling boring machine tool ram, the machine tool thermal errors are measured and compensated. Temperature compensation function in NC system is applied. Experiment results shows that 90% ram positioning error can be compensated.

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Carter, Norman. "The application of a flexible tooling system in a flexible manufacturing system." Robotica 3, no. 4 (1985): 221–28. http://dx.doi.org/10.1017/s0263574700002319.

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SUMMARYThe introduction of Flexible Manufacturing Systems, Cell Technology, and Automated Machining Techniques with the related reduction in manning levels has resulted in the development of tooling systems, tool management systems, and, independent tool magazines to service TURNING MACHINES where a high number of tools are required to cover one shift or unmanned operation.Actual cutting time (production time) represents a value between 5% and 20% of average machine utilisation time, and developments in cutting materials and geometries have largely exhausted rationalisation possibilities in th

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Ma, Wei-Min, Li Sun, S. C. Liu, and T. H. Wu. "Parallel-Machine Scheduling with Delivery Times and Deteriorating Maintenance." Asia-Pacific Journal of Operational Research 32, no. 04 (2015): 1550029. http://dx.doi.org/10.1142/s0217595915500293.

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In this paper, we consider parallel-machine scheduling with past-sequence-dependent (p-s-d) delivery times and deteriorating maintenance. The delivery time of a job is proportional to its waiting time in the system. Each machine has a deteriorating maintenance activity, i.e., delaying the maintenance increases the time required to perform it. We consider three versions of the problem to minimize the total absolute deviation of job completion times, the total load on all the machines, and the total completion time. We develop polynomial-time algorithms to solve them.

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Cubero, S., E. Moltó, A. Gutiérrez, et al. "Real-time inspection of fruit by computer vision on a mobile harvesting platform under field conditions." Progress in Agricultural Engineering Sciences 6, no. 1 (2010): 1–16. http://dx.doi.org/10.1556/progress.6.2010.1.

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The best alternative for reducing citrus production costs is mechanization. Machine vision is a reliable technology for the automatic inspection of fresh fruits and vegetables that can be adapted to harvesting machines. In these, fruits can be inspected before sending them to the packinghouse and machine vision provides important information for subsequent processing and avoids spending further resources in non-marketable fruit. The present work describes a computer vision system installed on a harvesting machine developed jointly by IVIA and a Spanish enterprise. In this machine, hand pickers

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Pi, Liang, Chen Wang, and Wei Zheng. "Transient Stability Analysis of Power System Based on Time Domain Simulation." Applied Mechanics and Materials 263-266 (December 2012): 781–85. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.781.

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Single-machine infinite-bus system and two-machine system simulation models were built to study the power system transient stability. Based on time domain simulation, the effect of generator inertia time constant (τg), and excitation system ceiling voltage (Ke) on transient stability were analyzed by single-machine infinite-bus system. The changes of transient stability of two-machine system were also compared by means of power system stabilizers (PSS) and static VAR compensator (SVC). In particular, the system transient stability varied greatly in different locations of SVC. Finally, some sug

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Al-augby, Salam, Ahmed Y. Mjhool, Mohammed W. Alboaldeen, and Ali Al-Sabbagh. "Improving saddle stitching line using affordable embedded system." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1235. http://dx.doi.org/10.11591/ijece.v11i2.pp1235-1242.

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In most printing factories, the stitching machine is considered as a significant tool in accomplishing the printing process cycle, such as in the Printing House of the University of Kufa (PHUK), complete their jobs using a cheap manual machine, and thus this leads to an increase in the number of employees and work hours. That is because the automated stitching machine of production is very costly. A decent printing house design maximizes production with a minimum investment in new equipment parts. However, a decent PHUK layout alone cannot reach the intended aims unless firmly linked with a de

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Sulistiawati, Irrine Budi. "CRITICAL TRAJECTORY - EXTREME LEARNING MACHINE TECHNIQUE FOR COMPUTING CRITICAL CLEARING TIME." Kursor 8, no. 1 (2016): 41. http://dx.doi.org/10.28961/kursor.v8i1.73.

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Electric power system is called reliable if the system is able to provide power supply without interrupted. However, in large systems changing on the system or disturbance may affect the power supply. Critical clearing time is the time for deciding the system is a stable or an unstable condition. Critical clearing time has also relationship with setting relay protection to keep the system in the stable condition. Prediction of critical real time for online assessment is expected to be used for preventive action system. That’s why critical clearing time still an interesting topic to be investig

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Heikkilä, Tuomo. "A decision support system to evaluate the business impacts of machine-to-machine system." Benchmarking: An International Journal 22, no. 2 (2015): 201–21. http://dx.doi.org/10.1108/bij-11-2012-0080.

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Purpose – The tightening competition and performance pressure in companies often leave no time or space for the assessment of business impacts of different investments and projects. In addition, in many cases the assessment may be challenging and there is no experience available to undertake it. Despite that companies often commit to different projects and investments without careful planning and vision of the costs it may cause. The purpose of this paper is to create a decision support system in order to facilitate and increase the assessment of business impacts of different investments conce

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Martišius, Ignas, and Robertas Damaševičius. "A Prototype SSVEP Based Real Time BCI Gaming System." Computational Intelligence and Neuroscience 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/3861425.

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Although brain-computer interface technology is mainly designed with disabled people in mind, it can also be beneficial to healthy subjects, for example, in gaming or virtual reality systems. In this paper we discuss the typical architecture, paradigms, requirements, and limitations of electroencephalogram-based gaming systems. We have developed a prototype three-class brain-computer interface system, based on the steady state visually evoked potentials paradigm and the Emotiv EPOC headset. An online target shooting game, implemented in the OpenViBE environment, has been used for user feedback

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Hida, Tomoya, Tetsuya Asano, Kazuhiro Nishita, Norio Sakai, Akinobu Goto, and Yoshimi Takeuchi. "Development of Online Real-Time Collision Free Machining Using Simulation with CNC Openness." International Journal of Automation Technology 9, no. 4 (2015): 403–10. http://dx.doi.org/10.20965/ijat.2015.p0403.

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In recent years, 5-axis machine and multi-tasking machine have seen wide spread use. These tools can contribute to the enhancement of machining efficiency and precision. Conversely, their complex motion can cause numerous collision accidents between machines, tools, materials, and other parts. To prevent such accidents, it is now common to verify numerical control (NC) data using a machine motion simulator before performing the actual machining. However, the actual machining process is not always conducted in the expected manner. In some cases, the machining process is manually defined or alte

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Takizawa, Hiroki, Hideki Aoyama, and Song Cheol Won. "Prompt Estimation of Die and Mold Machining Time by AI Without NC Program." International Journal of Automation Technology 15, no. 3 (2021): 350–58. http://dx.doi.org/10.20965/ijat.2021.p0350.

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Machining time estimation is essential for the due-date estimation of products as well as for production planning. Conventionally, machining time has been estimated by a computer aided manufacturing (CAM) system, which requires time and effort to create its numerical control (NC) program and requires machining expertise to operate it. In addition, among the problems with conventional methods, an error in the estimated machining time arises owing to the machine tool’s control characteristics. In this study, an artificial intelligence (AI)-based system capable of estimating machining time prompt

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Fichera, Susan. "Machine Tongues XIII: Real-Time Audio Conversion under a Time-Sharing Operating System." Computer Music Journal 15, no. 3 (1991): 27. http://dx.doi.org/10.2307/3680763.

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Guo, Kaiwen. "Application of Machine Learning and Real-time Feedback System to Predict Arriving Time." Journal of Physics: Conference Series 1684 (November 2020): 012039. http://dx.doi.org/10.1088/1742-6596/1684/1/012039.

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Quan, Yan Ming, Jing Zhao, and Y. S. Le. "Real-Time Monitoring System of Cutting Process Based on Cutting Temperature." Key Engineering Materials 392-394 (October 2008): 946–50. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.946.

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Cutting temperature measurement and its variety tendency can reflect cutting tool performance and machined surface quality directly. By means of a mercury current collector or an electrical brush device the online measurement of thermoelectric potential of tool-workpiece natural thermocouple in milling is obtained, based on which a new cutting process real-time monitoring system is developed. The system takes the average cutting temperature in tool-workpiece interface as the monitoring target and the rotation rate of machine spindle as the adjustment object, which leaves out onerous and comple

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Zhang, Xin Ju, and Xiu Hong Ma. "Design of Control System in Strapping Machine for Paper Bills." Advanced Materials Research 791-793 (September 2013): 603–6. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.603.

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The strapping machine for Paper Bills typically was designed to reduce labor intensity and enhance production automation level. The machines structure and working principle were described. There are three work posts in this equipment, they work continuously. This approach makes it very easy to split up a complex transformation into a series of simple transformations arranged in a loop line. The machine includes currency count/counterfeit distinguishing system, conveying system and strapping system. In the same time, the machine control system that adopts the PLC programmable controller can sim

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41

Burriel-Valencia, Jordi, Ruben Puche-Panadero, Javier Martinez-Roman, et al. "Automatic Fault Diagnostic System for Induction Motors under Transient Regime Optimized with Expert Systems." Electronics 8, no. 1 (2018): 6. http://dx.doi.org/10.3390/electronics8010006.

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Induction machines (IMs) power most modern industrial processes (induction motors) and generate an increasing portion of our electricity (doubly fed induction generators). A continuous monitoring of the machine’s condition can identify faults at an early stage, and it can avoid costly, unexpected shutdowns of production processes, with economic losses well beyond the cost of the machine itself. Machine current signature analysis (MCSA), has become a prominent technique for condition-based maintenance, because, in its basic approach, it is non-invasive, requires just a current sensor, and can p

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Saito, Kosuke, Hideki Aoyama, and Noriaki Sano. "Accurate Estimation of Cutting Time Based on Control Principle of Machine Tool." International Journal of Automation Technology 10, no. 3 (2016): 429–37. http://dx.doi.org/10.20965/ijat.2016.p0429.

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The accurate estimation of cutting time before beginning a cutting process is necessary to improve the productivity of machining. Commercial computer-aided machining (CAM) systems estimate the cutting time by dividing the tool path length by the designated feed rate in a numerical control (NC) program. However, the actual cutting time generally exceeds the estimated cutting time for curved surfaces because of the acceleration and deceleration of the NC machine tool. There are systems that estimate cutting time while considering acceleration and deceleration along the controlled axes, but these

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Sonwalkar, Poonam, Tanuja Sakhare, Ashwini Patil, and Sonal Kale. "Hand Gesture Recognition for Real Time Human Machine Interaction System." International Journal of Engineering Trends and Technology 19, no. 5 (2015): 262–64. http://dx.doi.org/10.14445/22315381/ijett-v19p245.

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Tango, Fabio, and Marco Botta. "Real-Time Detection System of Driver Distraction Using Machine Learning." IEEE Transactions on Intelligent Transportation Systems 14, no. 2 (2013): 894–905. http://dx.doi.org/10.1109/tits.2013.2247760.

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Abebe, Temesgen Hailegiorgis. "Decreasing Machine Down Time by Enhancing Existing Preventive Maintenance System." International Journal of Mechanical Engineering 7, no. 6 (2020): 33–40. http://dx.doi.org/10.14445/23488360/ijme-v7i6p106.

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MIN, BYUNG-KWON, ZHENGDONG HUANG, ZBIGNIEW J. PASEK, DEREK YIP-HOI, FORBES HUSTED, and STEPHEN MARKER. "INTEGRATION OF REAL-TIME CONTROL SIMULATION TO A VIRTUAL MANUFACTURING ENVIRONMENT." Journal of Advanced Manufacturing Systems 01, no. 01 (2002): 67–87. http://dx.doi.org/10.1142/s0219686702000076.

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This paper presents a new integrated approach for simulation developed to improve the accuracy of virtual manufacturing environments. While machine tool simulation and virtual manufacturing for factory simulation have been frequently used in early stage plant development, each of these technique has been researched and implemented separately. This paper focuses on the utilization of real-time simulation of machine tools or active axes in manufacturing systems and integration of this simulation capability with virtual manufacturing environments. Machine-level simulation results are generated in

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Bansal, Dheeraj, David J. Evans, and Barrie Jones. "Application of a real-time predictive maintenance system to a production machine system." International Journal of Machine Tools and Manufacture 45, no. 10 (2005): 1210–21. http://dx.doi.org/10.1016/j.ijmachtools.2004.11.029.

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Masani, Kausha I., Parita Oza, and Smita Agrawal. "Predictive Maintenance and Monitoring of Industrial Machine using Machine Learning." Scalable Computing: Practice and Experience 20, no. 4 (2019): 663–68. http://dx.doi.org/10.12694/scpe.v20i4.1585.

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Machine learning is one of the break-through technologies of the modern digital world. It's applications are found in various research domain such as medicine, image processing, production and manufacturing, aviation and autonomics and many more. To efﬁciently run a machine, it's maintenance and its monitoring automation system play a key role. The major problem we are targetting is to overcome the lack of an automation system which can give an accuracy rate of the production machine at a given instance of time. Also, the important energy meter parameters required to make power report in an au

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He, Wei Hua, Gui Xi Liu, Peng Ju Chang, Rui Liu, and Zeng Jian Huang. "Inspection and Test System of the Lighting Inspection Machine." Applied Mechanics and Materials 130-134 (October 2011): 3978–81. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.3978.

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Currently one of the most important, time-consuming and costly phases of PDP production is the inspection process. The lighting inspection machines play a very important role in this process. The inspection and test system of the lighting inspection machine whether good or not decides the inspection effectiveness. This paper mainly describes the function and design method of every important part of the lighting inspection machine’s inspection and test system.

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Koblar, Valentin, and Bogdan Filipič. "Evolutionary Design of a System for Online Surface Roughness Measurements." Mathematics 9, no. 16 (2021): 1904. http://dx.doi.org/10.3390/math9161904.

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Surface roughness is one of the key characteristics of machined components as it affects the surface quality and, consequently, the lifetime of the components themselves. The most common method of measuring the surface roughness is contact profilometry. Although this method is still widely applied, it has several drawbacks, such as limited measurement speed, sensitivity to vibrations, and requirement for precise positioning of the measured samples. In this paper, machine vision, machine learning and evolutionary optimization algorithms are used to induce a model for predicting the surface roug

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