The application of neural systems in vibrodiagnosis
autor:
Romaniuk Tomasz
tytuł czasopisma:
Schedae Informaticae
tom:
17-18
data wydania
:
2009
strony:
21-44
ISSN:
0860-0295
eISSN:
2083-8476
język:
angielski
język czasopisma:
angielski
abstrakt w j. angielskim:
Vibrodiagnosis helps in detecting incipient faults in rotating
machines like pumps and generators. Early detection prevents from undesired breakdown of the machine and allows to schedule maintenance
times. The application of neural networks in classification of the rotating
machine condition has been described in this work. Different types
of networks and methods on feature extraction was described and compared. Additionally it was proposed a novelty feature set consisted of
harmonics from vibration spectrum. The set were combined with using
of probabilistic neural networks which has been modified that it could
recognize defects that did not occur in the training set. Such architecture
was tested in detection of two defects, shaft misalignment and
mass unbalance. It was found that such network works better than a
multi layered perceptron with statistical features.
słowa kluczowe w j. angielskim:
neural networks, probabilistic neural networks, vibration monitoring, diagnostic systems