2 papers
eess.SP2019
Fault Diagnosis Method Based on Scaling Law for On-line Refrigerant Leak Detection
Shun Takeuchi, Takahiro Saito
Early fault detection using instrumented sensor data is one of the promising application areas of machine learning in industrial facilities. However, it is difficult to improve the…
eess.SP2019
Semi-supervised Approach to Soft Sensor Modeling for Fault Detection in Industrial Systems with Multiple Operation Modes
Shun Takeuchi, Takuya Nishino, Takahiro Saito +1
In industrial systems, certain process variables that need to be monitored for detecting faults are often difficult or impossible to measure. Soft sensor techniques are widely used…