Bayes-based Hyper-sphere Classification and Its Application in Diesel Engine Abnormity Detection

Based on the practical operation of diesel engine fault and a lot of professional experience and knowledge, an improved gray target engine fault diagnosis model was proposed. The ault sign standard model structure was built by Fault-to-date statistical data and professional experience and knowledge,and multi-target heart Failure was constructed. The causes of a diesel engine was diagnosed through the fault symptoms and the cause of the malfunction bull's-eye from all sort and its practicability and validity have been indicated by its result.

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Bayes-based Hyper-sphere Classification and Its Application in Diesel Engine Abnormity Detection

Cited by 2 publications

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A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis

A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis

Based on the Improvement of Grey Target Theory in Diesel Engine Fault Diagnosis

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