scholarly journals Industry Based Machine Health Monitoring and Maintenance System

2020 ◽  
pp. 531-536
Author(s):  
Jagdish A. Patel ◽  
Runita Jadhav ◽  
Nayan Khandbahale ◽  
Gayatri Kajale
Keyword(s):  
Condition Monitoring ◽  
Monitoring Cost ◽  
Industrial Automation ◽  
Electrical Machinery ◽  
Maintenance System ◽  
Machine Condition Monitoring ◽  
Machine Health Monitoring ◽  
Machine Health ◽  
Condition Monitoring System ◽  
Wide Condition

We review existing machine condition monitoring techniques and industrial automation for plant-wide condition monitoring of rotating electrical machines. Cost and complexity of a condition monitoring system increase with the number of measurements, so extensive condition monitoring is currently mainly restricted to the situations where the consequences of poor availability, yield or quality are so severe that they clearly justify the investment in monitoring. There are challenges to obtaining plant-wide monitoring that includes even small machines and non-critical applications. One of the major inhibiting factors is the ratio of condition monitoring cost to equipment cost, which is crucial to the acceptance of using monitoring to guide maintenance for a large fleet of electrical machinery. Ongoing developments in sensing, communication and computation for industrial automation may greatly extend the set of machines for which extensive monitoring is viable.

Low-Cost Condition Monitoring System of Rotating Machinery Based on LabVIEW

2011 ◽  
Vol 474-476 ◽  
pp. 735-738
Author(s):  
Ya Jun Fan ◽  
Yu Guo ◽  
Chuan Hui Wu
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Low Cost ◽  
Rotating Machinery ◽  
Current Status ◽  
Machine Condition Monitoring ◽  
Wide Range ◽  
Faults Diagnosis ◽  
Condition Monitoring System ◽  
Current Systems

In order to change the current status that machine condition monitoring system is only generally applied to key equipments of large-scaled and high-end business, a low-cost mini condition monitoring system of rotating machinery based on LabVIEW is proposed and designed in this paper. The system is not only of advantages of lower cost, stronger expandability and higher applicability, but also changes the condition that current systems emphasize too much on the comprehensiveness, universality and complexity. It is capable of meeting the wide range of condition monitoring of common rotating machinery, for faults diagnosis and predictive maintenance needs better, then, its potential application can be foreseen.

Quaternion Based Machine Condition Monitoring System

2010 ◽  
pp. 476-508
Author(s):  
Wai Kit Wong ◽  
Chu Kiong Loo ◽  
Way Soong Lim
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Thermal Image ◽  
Image Correlation ◽  
Reference Image ◽  
Machine Condition ◽  
Machine Condition Monitoring ◽  
Fuzzy Neural ◽  
Condition Monitoring System ◽  
Complex Ratio

In this chapter, a new and effective quaternion based machine condition monitoring system using log-polar mapper, quaternion based thermal image correlator and max-product fuzzy neural network classifier is discussed. Two classification characteristics namely: peak to sidelobe ratio (PSR) and real to complex ratio of the discrete quaternion correlation output (?-value) are applied in the quaternion based machine condition monitoring system. Large PSR and ?-value are observed in case of a good match among correlation of the input thermal image with a particular reference image, while small PSR and ?-value are observed in case of a bad/not match among correlation of the input thermal image with a particular reference image. Some simulation results show that log-polar mapping actually help solving rotation and scaling invariant problems in quaternion based thermal image correlation. Log-polar mapping can help in smoothing the output correlation plane, and hence it provides a better way for measuring PSR and ?-values. Results also show that quaternion based machine condition monitoring system is an efficient machine condition monitoring system with accuracy more than 98%.

Remote Machine Condition Monitoring Using Wireless Web Technology

2009 ◽  
Vol 419-420 ◽  
pp. 745-748 ◽  
Author(s):  
Dai Zhong Su ◽  
Wen Jie Peng
Keyword(s):  
Condition Monitoring ◽  
Diagnostic System ◽  
Web Technology ◽  
Expert Advice ◽  
Machine Condition ◽  
Processing Scheme ◽  
Time Frequency ◽  
Diagnosis And Prognosis ◽  
Machine Condition Monitoring ◽  
Condition Monitoring System

A remote real-time machine condition monitoring system is reported in this paper, which is applied for diagnosis and prognosis of gearboxes’ working condition. Within the system, the diagnostic classification is performed by pattern recognition using statistic parameters, and remote diagnostic capability is enhanced by applying Wireless Web technology. An online signal-processing scheme is adopted based on time-frequency analysis, digital filtering and statistic parameter algorithm to detect early fault signals of gears and to provide expert advice for decision making for maintenance. The effectiveness of the developed remote diagnostic system is verified via experimental investigation of monitoring a gearbox on a test rig under different conditions.

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