Induction Motor Diagnosis Using Line Neutral Voltage Signatures

The Use of a Multilabel Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults Based on the Start-Up Transient

“…For the detection of these faults and more specifically, for the case of broken bars and eccentricity, various input signals have been used quite successfully, such as induced voltages [7], vibration signals [8], currents and vibration signals [9], instantaneous angular speed or power [10]. However, methods that rely only on the use of currents, like the Motor Current Signature Analysis (MCSA) [11], [12] are usually preferred mainly due to their non-invasive nature.…”

Online computational tools dedicated to the detection of induction machine faults

“…The negative sequence of the stator current represents a reliable index for the on line monitoring of stator unbalanced [6]. Exploitation of the line neutral voltage for the diagnosis of stator and rotor faults has been proposed [7]. Artificial Intelligence (AI) based on statistical machine learning approach [8], artificial neural networks [9], time-frequency for classification induction motor faults [10].…”

Broken bars fault diagnosis based on uncertainty bounds violation for three-phase induction motors

“…However, wavelet‐based techniques have disadvantages of fault detection compared with the subspace methods in the frequency domain analysis, when the steady‐state current can be used under normal conditions . Vibration signal ‐ is analyzed to detect a possible development of a faulty condition in an induction motor and most frequently for mechanical faults diagnosis, such as broken rotor bar, bearing problems, gear mesh defects, rotor misalignment, and mass unbalance voltage. The suggested approach is based on spectral analysis of the line neutral voltage; however, this approach still remains far from being utilized in a common base, while significant additional research efforts are needed to improve the overall fault diagnosis in the case of induction motors . Each fault in an induction machine produces vibrations with distinctive characteristics that can be compared with the reference signal in order to perform the fault detection and diagnosis (FDD), which results in a reliable monitoring only for the cases where the load regime in the motor is rather low . Instantaneous power spectra analysis ‐ this method can be used for detection of the most common motor damages in induction motor.…”