Application of Wavelet Analysis to Condition Monitoring of Electromechanical Equipment

2001 ◽  
pp. 501-541
Author(s):  
Pengju Kang
Keyword(s):  
Wavelet Analysis ◽  
Condition Monitoring ◽  
Electromechanical Equipment

scholarly journals Design of System for Electromechanical Equipment Condition Monitoring in Real-time Based on DSP and CPLD

2015 ◽  
Vol 9 (1) ◽  
pp. 166-169 ◽  
Author(s):  
Gao Lili ◽  
Xu Kebao ◽  
Luan Zhaoxue
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Time Data ◽  
Logic Control ◽  
Real Time Data ◽  
Electric Equipment ◽  
Electromechanical Equipment ◽  
Parameter Monitoring

A multi-parameter monitoring system has been designed for mechanical and electric equipment based on DSP and CPLD. Designing methods for hardware and software are introduced in this paper. As in the system, powerful capability for numeric operation of DSP is used to deal with real-time data, while CPLD is held responsible for logic control. Therefore, by combining DSP and CPLD, malfunction can be observed and alarming signal can be provided in due time.

Application of Wavelet Analysis in Condition Monitoring of Induction Motors

2020 ◽  
pp. 795-807
Author(s):  
Amandeep Sharma ◽  
Pankaj Verma ◽  
Anurag Choudhary ◽  
Lini Mathew ◽  
Shantanu Chatterji
Keyword(s):  
Wavelet Analysis ◽  
Condition Monitoring ◽  
Induction Motors

Fault Detection and Diagnosis in Gears Using Wavelet Analysis Techniques and Comparison on their Diagnostic Capability

2015 ◽  
Vol 789-790 ◽  
pp. 587-591
Author(s):  
M. Lokesha ◽  
M.C. Majumder ◽  
K.P. Ramachandran
Keyword(s):  
Signal Processing ◽  
Wavelet Analysis ◽  
Condition Monitoring ◽  
Experimental Studies ◽  
Vibration Signal ◽  
Processing Technique ◽  
Fault Detection And Diagnosis ◽  
Signal Processing Technique ◽  
Base Function ◽  
Fault Characterization

The concept of vibration based condition monitoring technology has been developing at a rapid stage in the recent years suiting to the maintenance of sophisticated and complicated machines. Nowadays, wavelet analysis based signal processing technique is applied as effective tool for condition monitoring. The experimental studies were conducted on the gear testing apparatus to obtain the vibration signal from a healthy gear and an induced faulty gear. In this paper, two different techniques using Laplace wavelet as base function are used to characterize the fault in the gear signals, specifically wavelet enveloped power spectrum and wavelet kurtosis. The wavelet parameters are optimized using genetic algorithm to select most fault related features. A comparative study detailing features of fault characterization is also given in order to understand the effectiveness of both the wavelet based signal processing methods and their fault diagnosis capability.

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