On-line motor condition monitoring system for abnormality detection. (April 2016)

• Record Type: Journal Article
• Authors: Chang, Hong-Chan; Jheng, Yu-Ming; Kuo, Cheng-Chien; Huang, Li-Bin
• Is Part Of: Computers & electrical engineering. Volume 51(2016)
• Page Start: 255
• Page End: 269
• Publication Date: 2016-04
• Subjects: Electrical signal analysis -- Vibration signal analysis -- Motor condition monitoring system -- Fast Fourier transform -- Infinite impulse response filter; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2015.11.032
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: A set of economical handheld online real-time data-acquisition devices for motor abnormal detection based on vibrational and electrical detection methods was developed. The errors of analysis results from electrical and vibration signal were less than 10% comparing our proposed device with commercial industrial computer. This is a low cost, small size and simple use motor condition monitoring system. Abstract: An economical and portable on-line motor condition monitoring system based on an advanced microprocessor with a graphic user interface for abnormality detection is described. Both electrical and vibrational signal analysis for fault detection of motors were applied. A Cortex-M4 microcontroller and its built-in high speed analog-to-digital converter were used to process the on-line voltage, current, and vibration signals of the motors during operation. The acquired signals were digitally filtered through an infinite impulse filter and then, fast Fourier transform for spectral analysis was applied for abnormal pattern recognition. The analytic results were displayed in real time on an embedded touch-screen monitor to instantly provide users with the motor's operational conditions. Finally, a prototype was devised and verified through onsite experimentation. Comparing the results to commercial tools showed similar spectral characteristics; the difference for electrical and vibration signals was less than 10%. Thus, the system proposed shows promising ability and feasibility for online use. Graphical abstract: