Fault Diagnosis of Three Phase Induction Motor Using Current Signal, MSAF-Ratio15 and Selected Classifiers

Głowacz, Adam; Głowacz, W.; Głowacz, Z.; Kozik, J.; Gutten, Miroslav; Korenčiak, Daniel; Khan, Z. Faizal; Irfan, Muhammad; Carletti, Eleonora

doi:10.1515/amm-2017-0355

Cited by 35 publications

(23 citation statements)

References 53 publications

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“…Precision of thermal measurement for thermovision diagnostics is impacted by following factors:  incorrect determination of emissivity -radiation coefficient of measured object ε (λ, T),  low current load of measured electric equipment, because current load has a relevant role for assessment of measuring warming,  influence of other hot objects close to measured objects and inaccurate determination of surrounding temperature can cause both changes of emission coefficient,  incorrectly interpretation of measured values of warming,  various surfaces (the surface may be chromatic, oxidized surfaces and peeled paint on materials) may cause wrong evaluation of results. For diagnostics of infrared radiation by thermovision the inside transfer and distribution of electric power, it is need to take into account many relevant factors affecting the measurement accuracy [2].…”

Section: Introductionmentioning

confidence: 99%

Thermal diagnostic systems and their application for analysis of transformer winding

Šebök¹,

Kučera²,

Gutten³

et al. 2019

Diagnostyka

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This paper is focused application of chosen thermal non-contact and contact methods for quality diagnostics of the transformer windings. In the first part of the paper it examines basic principles and application of non-contact temperature measurement on power transformers by thermovision. The second part is focused on analysis of thermal processes in distribution transformer. In the finally, it is examined experimental measurement on laboratory transformer with task to detect mechanical strength and subsequently short-circuit resistance of its winding. By means of the experimental measurements and following analysis it was showed the practical thermovision and contact thermal measurement by optical detectors for diagnostics of power oil transformers in field mechanical strength of winding material.

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Section: Introductionmentioning

confidence: 99%

Thermal diagnostic systems and their application for analysis of transformer winding

Šebök¹,

Kučera²,

Gutten³

et al. 2019

Diagnostyka

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show abstract

“…For diagnostics of infrared radiation by thermovision of internal transmission and distribution of electric power, it is necessary to take into account many relevant factors affecting the measurement accuracy [2].…”

Section: Introductionmentioning

confidence: 99%

Thermal Measurement and its Application for Diagnostics of Distribution Oil Transformers

2019

Self Cite

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In the first part of the paper the theory of infrared radiation and the use of nondestructive measurement of electrical devices by means of thermovision are under analysis. In the second part of paper basic principles and application of non-contact temperature measurement are examined. In the third part of paper thermal processes in distribution oil transformer -temperature in dependence on height of oil transformer and temperature distribution in sectional plan of oil transformer -are considered. In the fourth part of paper, by means of the experimental measurements and subsequent analysis, practical thermal imaging and contact thermal measurements by optical detectors for the diagnosis of distribution oil transformers in the field of mechanical strength of windings are shown. In this paper, we wanted to show out the possibility of using thermal measurements in this field of analysis and detection of quality of winding for distribution oil transformer. It is possible to use these methods to localize places of faults, and they are also applicable for the diagnosis and detection of disorders of the quality of materials and other anomalies during operation of the equipment. By means of the experimental measurements followed by diagnostic analysis the practical use of thermovision and optical sensors for diagnostics of power oil transformers in field mechanical strength and quality of winding is demonstrated.

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“…Also, for every motor there is a unique mechanical rigidity between the electromagnetic forces produced by broken bars and the place where the vibration is being sensed. Findings obtained by Glowacz, et al (2017) emphasized that MCSA has that potential to sense the defects a phase-to-earth faults in advance. Aathikessavan, (2019) dealt with detecting failures in induction motors, in particularly with BRB detection.…”

Section: Introductionmentioning

confidence: 99%

Condition monitoring of Induction motors through Simulation of Bearing Fault and Air Gap Eccentricity Fault

Priyanka*¹,

Turk²,

Dahiya³

2019

IJRTE

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Induction motors have an important role in the industry on account of their advantages over other electrical motors. Consequently, there is a huge demand for their safe and sound operation. But it is not free from failures, which result in unnecessary downtimes and create great losses with regards to both revenue and maintenance. For that reason, early fault detection is considered necessary for the safety maintenance of the motor. In the present circumstances, the health monitoring of the induction motors are progressively increasing due to its potential to enhance operating costs, increase the reliability of function and so does the current paper emerge. Also, this paper deals with a novel effective technique for detecting the bearing fault and air gap eccentricity fault of the induction motor. Summarization and analysis of the findings are done based on percentage error and fitness function Value. Comparison results of bad bearing faults and air gap eccentricity are given separately in the paper. The findings of the study concluded that particle swarm optimization (PSO) can be considered as better optimization for bad bearing fault whereas modified particle swarm optimization is concluded as better optimization for air gap eccentricity fault.

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Fault Diagnosis of Three Phase Induction Motor Using Current Signal, MSAF-Ratio15 and Selected Classifiers

Cited by 35 publications

References 53 publications

Thermal diagnostic systems and their application for analysis of transformer winding

Thermal diagnostic systems and their application for analysis of transformer winding

Thermal Measurement and its Application for Diagnostics of Distribution Oil Transformers

Condition monitoring of Induction motors through Simulation of Bearing Fault and Air Gap Eccentricity Fault

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