Vinod V. Thomas's research while affiliated with Manipal Academy of Higher Education and other places

Publications (4)

Article
Advanced signal processing techniques and high-speed analog to digital converters enabled on-line detection of internal faults of induction motor even at inception. Reliable and accurate identification of fault signatures in practical situations is always a challenge due to load oscillations, supply harmonics or the presence of multiple faults. Hen...
Chapter
Three-phase squirrel cage induction motor being a core component of industrial drives needs fault detection strategies which can detect internal faults in very early stage of its development. This can result in enormous financial saving in industries. Simulation studies with suitable mathematical models helps in identification of fault signatures i...
Conference Paper
The supremacy of three phase squirrel cage induction motors in industrial drives demands accurate and reliable diagnostics for condition monitoring and internal fault detections. Operating stresses on these machines are electrical, mechanical, thermal, magnetic and environmental in nature and might result in internal faults. Avoiding unscheduled ma...
Conference Paper
Three phase squirrel cage induction motors are the most popular motors in industries. Electrical, magnetic, mechanical, thermal and environmental stresses during operating conditions lead to internal faults in it. There are no reliable non-invasive tools available for early diagnoses of internal faults. Hence, these internal faults are likely to be...

Citations

... More in details, the complexity and multidisciplinary nature of the monitored systems make the FDI task on EMA particularly challenging: indeed, an acceptable level of accuracy is hardly achievable due to the interactions between different failure modes. A wide choice of FDI techniques is nowadays available in the literature: direct comparison of the system response with an appropriate monitoring model [4,5], spectral analysis of system-specific behaviours [6][7][8], artificial neural networks [9][10][11][12], or several combinations of some of these methods [13,14]. Typically, model-based approaches are more computationally expensive and require proper system knowledge but often give more accurate results than data-driven methods. ...
... It indicated that the voltage spectrum of the neutral point was more sensitive to the air-gap static eccentricity. Bindu and Thomas (2018) proved the applicability of the vibration signal and stator current signal in diagnosing static eccentricity through experiments on three-phase squirrel-cage asynchronous motors with static eccentricity. Ding et al. (2015) studied the influence of different air-gap static eccentricity on magnetic field strength and core loss based on electromagnetic theory and the finite-element method. ...
... The term of the end ring current from the rotor electromagnetic equations in (8) is removed to give Equation (8) a symmetric structure. Considering the assumption above, the MCCM can now be transformed into a two-phase model [32]. ...
... Furthermore, A.C. motors consume a significant amount of power in the agricultural and industrial sectors. The quantity of energy consumed by a motor over its life cycle is calculated to be 60-100 times the motor's initial cost [1]. Technological characteristics enjoyed by this type of induction motors squirrel cage, such as low maintenance cost, high reliability, high performance, and a good starting torque. ...