Design of Switch Cabinet Fault Diagnosis System Based on Machine Learning
In industrial production,switchgear is an important component of the entire electrical equipment.In order to ensure the normal operation of electrical switchgear,it is necessary to test and diagnose equipment such as electrical switchgear.However,in most cases,the operating environment of electrical equipment switchgear is complex and the failure rate is high,making it difficult to detect and repair switchgear faults in a timely manner.The article designs a machine learning based switchgear regulation diagnosis system,which consists of a sensor selection unit and a sensor network chip selection unit.It can improve the accuracy of fault diagnosis and meet the needs of the electrical industry for switchgear fault diagnosis.
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