Cost-Sensitive Fault Identification in Predictive Maintenance Applications: a Case Study
2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)（2021）
摘要
The study focuses on health monitoring applications that enables companies to offer smart maintenance services on Fault Identification (FI) and Maintenance Indication (MI) tasks. This work aims to demonstrate that business information can be advantageously embedded in a modified machine learning workflow and that the cost related to the mis-classification error can be reduced. Three ensemble learn...
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关键词
Measurement,Fault diagnosis,Training,Biological system modeling,Prediction algorithms,Classification algorithms,Task analysis
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