Energize Electrical current signature analysis for fault detection in large...
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Electrical current signature analysis for fault detection in large motors

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Large electric motors form the core of many industries. As machines are designed to tighter tolerances, there is a growing need, for the sake of reliability, to monitor their behaviour and performance. Electrical signature analysis is proving valuable on wide range of motors to detect both mechanical and electrical faults.

Vibration analysis (VA) as means of detecting failure of mechanical parts of electrical machines is a well-established technique. VA can be extended to detect certain electrical faults as well, but for accurate electrical condition detection, electrical testing is required. Accelerometers applied to mechanical components of the drive train are traditionally used for condition monitoring but require their own data acquisition system and analysis software.

Fig. 1a: Current signature for a healthy motor [6].
In contrast, the electrical current and voltage are continuously available and can be used for condition monitoring. Electric signature analysis makes use of the abnormal variations in input current to detect faults and failures.


[1] N Mehala: Motor Current Signature Analysis and its Applications in Induction Motor Fault Diagnosis”, International journal of systems applications, engineering and development , 2007.
[2] A Thakur: Motor Current Signature Analysis as a Tool for Induction Machine Fault Diagnosis”, International Journal of Computer Science and Information Technology Research, Vol. 3, July – September 2015, www.researchpublish.com
[3] D Milkovic: Brief review of motor current signature analysis”, Hrvatska elektroprivreda (www.hep.hr).
[4] G Kliman: “What Stator Current Processing Based Technique to Use for Induction Motor Rotor Faults Diagnosis”, IEEE Transactions on Energy Conversion, 2003.
[5] N Burstein: “Electric Signature Analysis”, EDN, July 2009.
[6]  A Somaya, et al: “Detection of Induction Motors Rotor/Stator Faults Using Electrical Signatures Analysis”, International conference on renewable energies and power quality (ICREPQ), 2013.
[7] P Rodriguez :“Field current signature analysis for fault detection in synchronous motors”, Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives.
[8] J Lee: “Winding fault diagnosis of a 3-phase induction motor powered by frequency inverter drive using the current and voltage signals”, Mechatronics, 2014.

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