Fault diagnostic techniques for induction machines through finite element analysis

Subramaniam, Aravinth; Sahoo, Animesh; Manohar, Sai Srinivas; Panda, Sanjib Kumar

doi:10.1109/icems.2017.8056357

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…29 30 In 2017, Subramaniam et al combined finite element model of the CIM with an external circuit and detected fault in the machine in which computation unit was considered to be windings of one phase of the machine and fault detection was performed in a low spectrum of frequencies. 31 In this paper, by considering the computational unit in each coil, frequency ranges of the electrical machine modeled using FEM are extended up to higher frequency domains (MHz). As a result, fast transient phenomena on electrical machines modeled using FEM are studied represent an acceptable solution.…”

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confidence: 99%

An improved model of cage induction machines for fast transients studies

Hosseinibafqi

Akbari

Saied

2019

Int Trans Electr Energ Syst

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Summary This paper investigates modeling improvement of cage induction machines (CIMs) in fast transients. In this method, RLC ladder network model associated with each turn of the coil is employed as the interface between voltage sources and finite element region. All circuit and field equations are rewritten to obtain final matrix of the system. The developed model opens a way to improve electrical machine simulators, on the basis of finite element method (FEM), to obtain a more accurate voltage distribution waveform at each turn of the coil in fast transients and to increase frequency validity of the modeled machine by RLC method using the FEM.

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mentioning

confidence: 99%

An improved model of cage induction machines for fast transients studies

Hosseinibafqi

Akbari

Saied

2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Finite element analysis (FEA) is being widely used to investigate and analyze faults using magnetic flux distribution and structural health of induction machines [96].…”

Section: On-line Frequency Response Analysismentioning

confidence: 99%