Different measurement techniques for detection of bearing faults in industrial actuators — comparative study

Continuous and smooth operations of industrial actuators are very essential for the operation of automated plants. Detection of bearing faults, operated through Variable Frequency Drive (VFD)in the high-power actuators used in industrial process control operation is very challenging, due to dynamical alteration of load, speed, and external interferences. Proposed work, investigates suitable measurement technique for detection of such bearing failures. In the paper, a comparative study between vibration signal measured through piezoelectric sensor, acoustic signal measured through microphone, and motor current signature analysis for detection of bearing fault have been presented. In the work, natural and artificially created bearing faults in three phase induction motor based actuator have been considered, which is used to operate an industrial scale model process plant used for pneumatic conveying and drying. The experimental results show the superiority of vibration signal measured through piezoelectric based sensor.

[1]  H.A. Toliyat,et al.  Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review , 2005, IEEE Transactions on Energy Conversion.

[2]  Erkki Jantunen How to diagnose the wear of rolling element bearings based on indirect condition monitoring methods , 2006 .

[3]  Ghalib R. Ibrahim,et al.  Adaptive filtering based system for extracting gearbox condition feature from the measured vibrations , 2013 .

[4]  Biplab Satpati,et al.  Sensor-Less Predictive Drying Control of Pneumatic Conveying Batch Dryers , 2017, IEEE Access.

[5]  Bin Lu,et al.  Predictive maintenance techniques , 2009, IEEE Industry Applications Magazine.

[6]  Momoh Jimoh Eyiomika Salami,et al.  Machine condition monitoring and fault diagnosis using spectral analysis techniques , 2001 .

[7]  Daniel Morinigo-Sotelo,et al.  Methodology for fault detection in induction motors via sound and vibration signals , 2017 .

[8]  Yaguo Lei,et al.  A review on empirical mode decomposition in fault diagnosis of rotating machinery , 2013 .

[9]  S. Mitra,et al.  An automated SCADA based system for identification of induction motor bearing fault used in process control operation , 2016, 2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC).

[10]  M.J. Melfi,et al.  Bearing current remediation options , 2004, IEEE Industry Applications Magazine.

[11]  Alberto Bellini,et al.  Diagnosis of Bearing Faults in Induction Machines by Vibration or Current Signals: A Critical Comparison , 2008, IEEE Transactions on Industry Applications.

[12]  Ian Howard,et al.  A Review of Rolling Element Bearing Vibration 'Detection, Diagnosis and Prognosis', , 1994 .

[13]  Beatrice Lazzerini,et al.  Rolling element bearing fault classification using soft computing techniques , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[14]  Alberto Bellini,et al.  Bearing Fault Model for Induction Motor With Externally Induced Vibration , 2013, IEEE Transactions on Industrial Electronics.

[15]  Giansalvo Cirrincione,et al.  Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks , 2013, IEEE Transactions on Industrial Electronics.

[16]  Thomas G. Habetler,et al.  A survey of condition monitoring and protection methods for medium voltage induction motors , 2009 .

[17]  Steve Goldman,et al.  Vibration Spectrum Analysis: A Practical Approach , 1991 .

[18]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .

[19]  Ezio Bassi,et al.  Stator Current and Motor Efficiency as Indicators for Different Types of Bearing Faults in Induction Motors , 2010, IEEE Transactions on Industrial Electronics.

[20]  Kenneth A. Loparo,et al.  Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal , 2008 .

[21]  Robert B. Randall,et al.  Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications , 2011 .

[22]  Robert B. Randall,et al.  Rolling element bearing diagnostics—A tutorial , 2011 .

[23]  N. Tandon,et al.  A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings , 1999 .