Domain Adaptation Digital Twin for Rolling Element Bearing Prognostics
نویسندگان
چکیده
منابع مشابه
Robust performance degradation assessment methods for enhanced rolling element bearing prognostics
Bearing failure is one of the foremost causes of breakdowns in rotating machinery and such failure can be catastrophic, resulting in costly downtime. One of the key issues in bearing prognostics is to detect the defect at its incipient stage and alert the operator before it develops into a catastrophic failure. Signal de-noising and extraction of the weak signature are crucial to bearing progno...
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De-noising and extraction of the weak signature are crucial to fault prognostics in which case features are often very weak and masked by noise. The wavelet transform has been widely used in signal de-noising due to its extraordinary time-frequency representation capability. In this paper, the performance of wavelet decomposition-based de-noising and wavelet filter-based de-noising methods are ...
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Rolling bearings are one of the most important noise and vibration generator into mechanical constructions. Therefore, it is very important to have knowledge of the rolling element bearings influence on the level of noise and vibration in this systems. This paper deals with a basic forms for generation of vibration and noise of rolling element bearing and suggestions of vibration analysis signi...
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The design of rolling element bearings has been a challenging task in the field of Mechanical Engineering. Traditional approaches to the design optimization of such bearings have proved to be computationally time intensive and have yielded solutions that are yet to be theoretically proven optimal. While most of the real aspects of the design are never disclosed by bearing manufacturers, the com...
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ژورنال
عنوان ژورنال: Annual Conference of the PHM Society
سال: 2020
ISSN: 2325-0178,2325-0178
DOI: 10.36001/phmconf.2020.v12i1.1294