文档介绍：1998 Second International Conference on Knowledge-Based Intelligent Electronic Systems, 21-23 April 1998, Adelaide, Ausnalia. Editors, . Jain and
Transient Signal Analysis and Classification for Condition Monitoring of Power
Switching Equipment Using Wavelet Transform and Artificial works
Pengju Kang, David Birtwhistle, Kame Khouzam
Research Concentration of Electrical Energy
Queensland University of Technology
Australia
Abstract: In the present work, a transient signal present work acoustic monitoring is investigated as a
processing technique is developed for condition method for assessing the condition of mechanical
monitoring. This technique is especially applicable switching devices such as circuit breakers and
to analysing vibration signals which are produced by transformer tap changers. The health of the device is
switching mechanisms. Multiresolution and wavelet evaluated by observing the deviations between the
transforms bined to extract salient features newly-recorded vibration signatures produced by
with limited dimension from the primary vibration contact movements from template recordings.
signals. These features are further classified by
artificial works for the purpose of Typically vibration signals measured from power
condition assessment. The results provide the switching equipment are non-stationary signals with