Self-Sensing Induction Motors for Condition Monitoring

Schantz, Christopher; Leeb, Steven B.

doi:10.1109/jsen.2017.2700386

Cited by 12 publications

(4 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, authors in [114] proposed utilizing an induction motor's FEM model for parameters estimation using hardware in the loop environment. In [115], the induction motor's inversion model was used to estimate different performance parameters for health monitoring.…”

Section: Electrical and Electromagnetic Monitoringmentioning

confidence: 99%

Methods of Condition Monitoring and Fault Detection for Electrical Machines

et al. 2021

View full text Add to dashboard Cite

Nowadays, electrical machines and drive systems are playing an essential role in different applications. Eventually, various failures occur in long-term continuous operation. Due to the increased influence of such devices on industry, industrial branches, as well as ordinary human life, condition monitoring and timely fault diagnostics have gained a reasonable importance. In this review article, there are studied different diagnostic techniques that can be used for algorithms’ training and realization of predictive maintenance. Benefits and drawbacks of intelligent diagnostic techniques are highlighted. The most widespread faults of electrical machines are discussed as well as techniques for parameters’ monitoring are introduced.

show abstract

Section: Electrical and Electromagnetic Monitoringmentioning

confidence: 99%

Methods of Condition Monitoring and Fault Detection for Electrical Machines

et al. 2021

View full text Add to dashboard Cite

show abstract

“…A first approach to fault detection and diagnostics uses current signature analysis associated with an induction ma- chine driving the device under study [11], [6]. Experimental results confirm that the fundamental component of a current signal provides little diagnostic information.…”

Section: B Spectral Current and Vibration Componentsmentioning

confidence: 99%

“…E LECTROMECHANICAL actuators with periodically varying loads serve as workhorse components in many industrial and commercial processes [1], [2], [3], [4]. Compressors for HVAC and high pressure air service, machine tools with periodic stamping or cutting, and reciprocating pumps all experience periodic load variations throughout a mechanical operating cycle [5], [6]. Associated periodic modulations appear in many signals associated with these actuators and machines, including vibration, electrical current, speed, and torque [6], [7].…”

Section: Introductionmentioning

confidence: 99%

“…Compressors for HVAC and high pressure air service, machine tools with periodic stamping or cutting, and reciprocating pumps all experience periodic load variations throughout a mechanical operating cycle [5], [6]. Associated periodic modulations appear in many signals associated with these actuators and machines, including vibration, electrical current, speed, and torque [6], [7]. These periodic variations are an under-exploited opportunity for diagnostics.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Diagnostics for Periodically Excited Actuators

Huchel

Helsen

Lindahl

et al. 2020

IEEE Trans. Instrum. Meas.

Self Cite

View full text Add to dashboard Cite

Electromechanical actuators that operate cyclically or with periodically varying loads present unique opportunities for condition-based diagnostics. Signal processing techniques can be tailored to exploit periodic variation in the electrical and mechanical variables and waveforms associated with these machines. These analytical techniques improve signal resolution and permit detection of fine changes in system parameters. This paper presents low-intrusion instrumentation tailored to periodic loads. These instruments can provide subtle diagnostic information from measurements of quantities like vibration and electrical current. Extraction of cyclostationary signal components and development of diagnostic metrics are discussed in this paper and demonstrated on an industrially relevant case, a diaphragm pump.

show abstract