Detection and diagnosis of fault bearing using wavelet packet transform and neural network
نویسندگان
چکیده
منابع مشابه
Application of Wavelet Packet Transform (WPT) for Bearing Fault Diagnosis
The bearings are the most important mechanical elements of rotating machinery. They are employed to support and rotate the shafts in rotating machinery. On the other hand, any fault in bearing can lead to losses on the level of production and equipments as well as creation an unsafe working environment for human. For these reasons, Condition monitoring and fault diagnosis of these bearings has ...
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Quality control of textile products is an important stage in textile industries. To this end, the conventional method in fault detection is human inspection. In the present work, Wavelet transform was applied on images of simple circular knitted fabrics to diagnose five regular defects. The results showed that the method applied was accurate and fast in addition to being capable of determining ...
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ژورنال
عنوان ژورنال: Frattura ed Integrità Strutturale
سال: 2019
ISSN: 1971-8993
DOI: 10.3221/igf-esis.49.29