Detection of Failure of Machine by Using the Higher Order Correlation Information between Sound and Vibration

Ikuta, Akira; Orimoto, Hisako; Ogawa, Hirotaka

doi:10.1541/ieejeiss.131.1600

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…Therefore, the arbitrary constants are determined as 1 Furthermore, in the case of considering more than three kinds of failures, a multinomial distribution can be adopted as the standard distribution of Equation (10). It is possible to derive the fault diagnosis in the same manners as the present study by calculating orthogonal polynomial based on the preciously published method [11].…”

Section: Expression Of Probability Distribution For Diagnosis Methods mentioning

confidence: 99%

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Statistical Fault Diagnosis Methods by Using Higher-Order Correlation Information between Sound and Vibration

Orimoto¹

2016

IIM

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It is important to specify the occurrence and cause of failure of machines without stopping the machines because of increased use of various complex industrial systems. In this study, two new diagnosis methods based on the correlation information between sound and vibration emitted from the machine are derived. First, a diagnostic method which can detect the part of machine with fault among the assumed several faults is proposed by measuring simultaneously the time series data on sound and vibration. Next, a diagnosis method based on the estimation of the changing information of correlation between sound and vibration is considered by using prior information in only normal situation. The effectiveness of the proposed theory is experimentally confirmed by applying it to the observed data emitted from a rotational machine driven by an electric motor.

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Section: Expression Of Probability Distribution For Diagnosis Methods mentioning

confidence: 99%

“…In the previous study, a faults diagnosis method was proposed by using correlation information between sound and vibration emitted from a machine in time domain [10]. However, this method required correlation information of sound and vibration in both normal and failure situations in advance.…”

Section: Introductionmentioning

confidence: 99%

Statistical Fault Diagnosis Methods by Using Higher-Order Correlation Information between Sound and Vibration

Orimoto¹

2016

IIM

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“…As regards phase IV (Maintenance and Service), servo amplifiers, servo motors, and sensors must be replaced or restored as fast as possible in case of a failure. Thus, a number of solutions have been proposed, including error prognosis and diagnosis functions [9][10][11][12], troubleshooting functions [13][14][15], and control schemes supporting continuous operation even in case of an abnormal environment (power supply, load, and so on) [6].…”

Section: Growing Needs For Total Productivitymentioning

confidence: 99%

“…On the other hand, as production sites are increasingly globalized, total productivity, including system design, setup and maintenance, must be improved in addition to operation. Thus, design support by simulation tools and control system selection tools in the system design phase has been proposed, as has time saving by servo auto-tuning tools in the setup phase [9][10][11][12][13][14][15]. As regards the maintenance phase, a control method has been proposed for faster recovery and continuous operation using error prognosis and diagnosis functions [6].…”

Section: Introductionmentioning

confidence: 99%

An Optically Isolated High‐Performance Servo Network in FA Systems for Total High Productivity

Kachi

Nagano

2014

Electrical Engineering Japan

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SUMMARYIn recent years, the reduction of total cost of ownership (TCO) from system architecture to start-up, operation and maintenance has risen rapidly with the demand for factory automation (FA). But due to the complexity and combination of functions of machines and devices, and to progress in meeting high-speed and high-accuracy demands, networking of controllers and amplifiers has come into use. However, conventional servo networks have had various problems in TCO reduction. The servo network proposed in this paper can obtain position and speed information from counterpart amplifiers in the synchronous control by communication between amplifiers, which is conventionally unattainable. Compared with the conventional system, high-speed, high-accuracy operation can be realized with the new synchronous compensation control utilizing data transferred between amplifiers, and improvements in operating productivity were verified with an actual machine. Conventional systems used multiple electrical signals, but the new network realizes optical communication over only a single pair of optical cables using optically isolated circuit technology, and it has also proved effective for increasing productivity in the setup and maintenance. C⃝ 2014 Wiley Periodicals, Inc. Electr Eng Jpn, 190(4): 46-55, 2015; Published online in Wiley Online Library (wileyonlinelibrary.com).

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An Optical Isolated High Performance Servo Network in FA Systems for the Total High Productivity

Kachi

Nagano

2013

IEEJ Trans.EIS

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Detection of Failure of Machine by Using the Higher Order Correlation Information between Sound and Vibration

Cited by 3 publications

References 12 publications

Statistical Fault Diagnosis Methods by Using Higher-Order Correlation Information between Sound and Vibration

Statistical Fault Diagnosis Methods by Using Higher-Order Correlation Information between Sound and Vibration

An Optically Isolated High‐Performance Servo Network in FA Systems for Total High Productivity

An Optical Isolated High Performance Servo Network in FA Systems for the Total High Productivity

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