Evidence map›Paper›PMID 35590836›Full record

ArticleSensors (Basel, Switzerland)2022

Analytical Model of Eccentric Induction Machines Using the Conformal Winding Tensor Approach.

Carla Terron-Santiago, Javier Martinez-Roman, Ruben Puche-Panadero, Angel Sapena-Bano, Jordi Burriel-Valencia, Manuel Pineda-Sanchez

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Carla Terron-SantiagoInstitute for Energy Engineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Javier Martinez-RomanInstitute for Energy Engineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.ORCID 0000-0001-7544-8481
Ruben Puche-PanaderoInstitute for Energy Engineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.ORCID 0000-0003-2090-1941
Angel Sapena-BanoInstitute for Energy Engineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.ORCID 0000-0002-3888-6498
Jordi Burriel-ValenciaInstitute for Energy Engineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Manuel Pineda-SanchezInstitute for Energy Engineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.ORCID 0000-0001-7844-8831

Funding

Ministerio de Ciencia, Innovación y Universidades (MCIU) RTI2018-102175-B-I00 (MCIU/AEI/FEDER, UE)
6 · The paper itself

Abstract

Induction machines (IMs) are a critical component of many industrial processes, and their failure can cause large economic losses. Condition-based maintenance systems (CBMs) that are capable of detecting their failures at an incipient stage can reduce these risks by continuously monitoring the IMs' condition. The development and reliable operations of CBMs systems require rapid modeling of the faulty IM. Due to the fault-induced IM asymmetries, these models are much more complex than those used for a healthy IM. In particular, a mixed eccentricity fault (static and dynamic), which can degenerate into rubbing and destruction of the rotor, produces a non-uniform IM air gap that is different for each rotor position, which makes its very difficult to calculate the IM's inductance matrix. In this work, a new analytical model of an eccentric IM is presented. It is based on the winding tensor approach, which allows a clear separation between the air gap and winding-related faults. Contrary to previous approaches, where complex expressions have been developed for obtaining mutual inductances between conductors and windings of an eccentric IM, a conformal transformation is proposed in this work, which allows using the simple inductance expressions of a healthy IM. This novel conformal winding tensor approach (CWFA) is theoretically explained and validated with the diagnosis of two commercial IMs with a mixed eccentricity fault.

Indexed as

AlgorithmsIndustryComputer SimulationMolecular Conformationfault diagnosisinduction machinesmixed eccentricitywinding tensor

Identifiers

PMID35590836
PMCPMC9103230

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.