Fault pattern recognition of Power-Shift Steering Transmission based on support vector clustering

Fault pattern recognition is an important work in condition monitoring of Power-Shift Steering Transmission (PSST). Spectrometric oil analysis technology is a common and useful method to study the state of PSST. But, how to find the implicit information in data and classify the running state is a di...

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Bibliographische Detailangaben

Hauptverfasser:	Ying-feng Zhang, Tao Huang, Yan Yu, Jian-guo Bu, Biao Ma
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Analytical models Fault pattern recognition Feature extraction Kernel Pattern recognition Power-Shift Steering Transmission (PSST) Static VAr compensators Support Vector Clustering (SVC) Support vector machines Training
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