ProbSparse Attention-based Fault Diagnosis for Industrial Robots Under Different Working Conditions

Industrial robots are a complex and critical equipment in intelligent manufacturing systems that require ensuring safe and stable operation. The in-situ fault diagnosis of industrial robots faces serious industrial environment interference, and usually operates in different working conditions. In th...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2024-01, Vol.73, p.1-1
Hauptverfasser:	Wang, Yimo, He, Yiming, Kang, Bin, Liu, Jian, Sun, Changyin
Format:	Artikel
Sprache:	eng
Schlagworte:	attention Complexity Data models deep learning Diagnostic systems Fault diagnosis Feature extraction Harmonic reducer Industrial noise Industrial robots Intelligent manufacturing systems Robots Training Transformers transofrmer Vibrations Working conditions
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