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Extraction of feature spectra by instantaneous power spectrum and automatic generation of symptom parameters by GP for diagnosis of machinery in unsteady operating condition

2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies and Industrial Opportunities (Cat. No.00CH37141), 2002
This paper proposes a failure diagnosis method for plant machinery in unsteady operating conditions using the instantaneous power spectrum (IPS) and genetic programming (GP). The IPS is used to extract the feature spectra of each machine state from the measured vibration signal for distinguishing failures by the relative crossing information (RCI ...
M. Taniguchi, null Peng Chen, T. Toyota
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Research on Standardization of Construction Site Time-series Change Information as Learning Data for Automatic Generation of Work Plan of Construction Machinery in Earthworks

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 2020
Takashi Otsuki +4 more
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Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis

IEEE Transactions on Cybernetics, 2021
Bo Peng, Shuting Wan, Ying Bi
exaly

1A1-S-015 Polishing robot for metallic molds with curved surface : Automatic generation of feed rate considering the curvature for cycle time reduction(Manufacturing System and Manufacturing Machinery Mechatronics,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)