2014
DOI: 10.2478/jee-2014-0044
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Control and Diagnostic Model of Brushless Dc Motor

Abstract: A simulation model of brushless DC motor (BLDC) control and diagnostics is considered. The model has been developed using a freeware complex "Modeling in technical devices". Faults and diagnostic parameters of BLDC are analyzed. A logicallinguistic diagnostic model of BLDC has been developed on basis of fuzzy logic. The calculated rules determine dependence of technical condition on diagnostic parameters, their trends and utilized lifetime of BLDC. Experimental results of BLDC technical condition diagnostics a… Show more

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Cited by 42 publications
(32 citation statements)
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References 7 publications
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“…There is also a wide research field on the development of methods for incipient fault diagnostics. Fault diagnostics in rotating machines is mainly carried out through vibration, electrical, acoustic, and thermal analysis [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…There is also a wide research field on the development of methods for incipient fault diagnostics. Fault diagnostics in rotating machines is mainly carried out through vibration, electrical, acoustic, and thermal analysis [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…4. If the system is in the "i th " state, that is, the "i th " component part is being repaired, then the system can stay in this state during the time interval (t, t + ∆t) with the probability: (15) The transition probability matrix for a system with serially connected component parts at arbitrary laws of time distribution of their running hours and recovery will have the following form (16).…”
Section: The Reliability Model Of a Mechatronic System As The Technolmentioning
confidence: 99%
“…The semi-Markovian process can be also assigned by means of one transition probability matrix P [3,14]. P = P(t)  where P(t) is transition possibility, i.e.…”
Section: Casementioning
confidence: 99%
“…They also develop early fault detection methods [1,5,6,[10][11][12][13][14][15]. Especially non-invasive methods are developed such as: acoustic, vibrations, thermal, magnetic [3,14,19,27,28,29,35,36,38].…”
Section: Introductionmentioning
confidence: 99%
“…These motors have low maintenance and low price. To reduce maintenance costs scientists analyze mechanical properties of materials [18,20,25,30].They also develop early fault detection methods [1,5,6,[10][11][12][13][14][15]. Especially non-invasive methods are developed such as : acoustic, vibrations, thermal, magnetic [3, 14, 19, 27, 28, 29, 35, 36, 38].…”
mentioning
confidence: 99%