Exponential time-frequency distribution of mechanical vibration signals

1998 ◽  
Vol 41 (4) ◽  
pp. 418-425
Author(s):  
Gangtie Zheng ◽  
P. D. McFadden
Keyword(s):  
Frequency Distribution ◽  
Mechanical Vibration ◽  
Vibration Signals ◽  
Exponential Time ◽  
Time Frequency ◽  
Time Frequency Distribution

Design of a Time-Frequency Distribution for Vibration Monitoring under Corrosions in the Pipe

2006 ◽  
Vol 321-323 ◽  
pp. 1257-1261
Author(s):  
Gi Young Park ◽  
C.K. Lee ◽  
Jung Taek Kim ◽  
K.C. Kwon ◽  
Sang J. Lee
Keyword(s):  
Frequency Distribution ◽  
Vibration Monitoring ◽  
Vibration Signals ◽  
Plant Operation ◽  
Time Frequency ◽  
Analysis Techniques ◽  
Cross Terms ◽  
Conventional Methods ◽  
Time Frequency Distribution

To monitor the wear and degradation on a pipe by corrosion during a plant operation, the vibration signals were measured by an accelerometer and analyzed by several analysis techniques. From the conventional methods, it was difficult to identify the wear and degradation on the pipe. And hence, the time-frequency distribution (TFD) and the adaptive cone-kernel distribution (ACKD) devised for reducing the interfering cross-terms are applied to the acquired data. They can provide the distinguishing peak patterns between the normal and corrosion signals.

A Time-Frequency Distribution for Analysis of Signals with Transient Components and Its Application to Vibration Analysis

1999 ◽  
Vol 121 (3) ◽  
pp. 328-333 ◽  
Author(s):  
G. T. Zheng ◽  
P. D. McFadden
Keyword(s):  
Frequency Distribution ◽  
Wigner Distribution ◽  
Vibration Signals ◽  
Frequency Distributions ◽  
Time Frequency ◽  
Frequency Domains ◽  
Harmonic Components ◽  
Cohen Class ◽  
New Distribution ◽  
Time Frequency Distribution

Bilinear time-frequency distributions, which provide simultaneous high resolution in both time and frequency domains, offer advantages for the analysis of vibration signals where the harmonic components and sidebands may be closely spaced. However, the Choi-Williams exponential distribution is found to be unsuitable, and aliasing produced by distributions of the Cohen class also causes problems. An aliasfree exponential time-frequency distribution is introduced, which combines features of distributions of the Cohen class and the generalized Wigner distribution. The new distribution is shown to be well suited to the analysis of signals with transient components.

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