Fault Diagnosis of a Centrifugal Pump Using Electrical Signature Analysis and Support Vector Machine

Kim K(2003)Sensorless fault diagnosis of induction motors IEEE Trans Ind Electron 50 1038-1051

Parlos AG(1998)Model-based fault diagnosis of a two-pump system Trans Inst Meas Control 20 115-124

Bharadwaj RM(2006)Model based fault detection in a centrifugal pump application IEEE Trans Control Syst Technol 14 204-215

Dalton T(2021)An autonomous electrical signature analysis-based method for faults monitoring in industrial motors IEEE Trans Instrum Meas 70 1-8

Patton R(2021)Fault detection of circulation pumps on the basis of motor current evaluation IEEE Trans Ind Appl 57 4617-4624

Kallesoe CS(2018)A review of artificial intelligence algorithms used for smart machine tools Inventions 3 41-408

Cocquempot V(2005)One-class support vector machines-an application in machine fault detection and classification Comput Ind Eng 48 395-347

Izadi-Zamanabadi R(2017)Fault detection in wireless sensor networks through svm classifier IEEE Sens J 18 340-5648

Balakrishna P(2015)An svm-based solution for fault detection in wind turbines Sensors 15 5627-3469

Khan U(2021)Wind turbine gearbox anomaly detection based on adaptive threshold and twin support vector machines IEEE Trans Energy Convers 36 3462-151

Kim K(2003)Sensorless fault diagnosis of induction motors IEEE Trans Ind Electron 50 1038-1051

Parlos AG(1998)Model-based fault diagnosis of a two-pump system Trans Inst Meas Control 20 115-124

Bharadwaj RM(2006)Model based fault detection in a centrifugal pump application IEEE Trans Control Syst Technol 14 204-215

Dalton T(2021)An autonomous electrical signature analysis-based method for faults monitoring in industrial motors IEEE Trans Instrum Meas 70 1-8

Patton R(2021)Fault detection of circulation pumps on the basis of motor current evaluation IEEE Trans Ind Appl 57 4617-4624

Kallesoe CS(2018)A review of artificial intelligence algorithms used for smart machine tools Inventions 3 41-408

Cocquempot V(2005)One-class support vector machines-an application in machine fault detection and classification Comput Ind Eng 48 395-347

Izadi-Zamanabadi R(2017)Fault detection in wireless sensor networks through svm classifier IEEE Sens J 18 340-5648

Balakrishna P(2015)An svm-based solution for fault detection in wind turbines Sensors 15 5627-3469

Khan U(2021)Wind turbine gearbox anomaly detection based on adaptive threshold and twin support vector machines IEEE Trans Energy Convers 36 3462-151