Поспішайте прочитати: у вільному доступі від SAGE Journals стаття із поточного випуску журналу Structural Health Monitoring
A unified approach to detecting and trending changes caused by mechanical faults in rotating machinery
- Wenyi Wang⇑
- B David Forrester
- Peter C Frith
Abstract
For detecting faults in rotating
machinery, different fault types generally require different techniques
for the effective
detection of the faults; hence, many different
techniques have been developed. However, we often find that the existing
detection
techniques are either incapable or ineffective for
many new fault types. Therefore, we will need to develop brand new
methods
after the fault event. This can significantly
constrain the usefulness and effectiveness of machine health monitoring
systems.
In this article, we propose a unified signal
processing approach to detecting and trending changes caused by various
types
of faults in rotating machinery. The theoretical
foundation of the proposed technique is based on extracting the
differences
between the synchronously averaged (angularly
resampled) signals acquired under the changing health conditions after
aligning
their phases. The aligning of the phases is
achieved through a novel and efficient approach, which is performed in
the frequency
domain. The alignment enables a direct comparison
between the amplitudes of the synchronously averaged signals and
provides
a trustworthy evaluation using the same reference
datum. The proposed method is novel and conceptually unsophisticated,
and
its effectiveness is demonstrated using vibration
data from rotating machines with several different types of faults. The
results have shown that this single unified change
detection approach can be very effective in detecting and trending
changes
caused by many different types of faults in
rotating machines. This is an ideal technique to be implemented for
testing on
aircraft engine onboard health monitoring systems.
- Unified approach
- change detection
- mechanical fault detection
- rotating machinery
- vibration signal processing
- synchronous signal averaging
- signal phase alignment
- machine health monitoring
http://shm.sagepub.com/content/15/2/204.full.pdf+html
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