2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives 2009
DOI: 10.1109/demped.2009.5292763
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Model-based eccentricity diagnosis for a ship brushless-generator exploiting the Machine Voltage Signature Analysis (MVSA)

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Cited by 13 publications
(20 citation statements)
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“…Although substantial research has been conducted in this area with regard to the effect of load on low-frequency sidebands with mixed eccentricity [8], [9]; pure dynamic eccentricity [10]; a thorough FE study of mixed eccentricity [11]; stray flux [12]; increase in transient leakage reactance [13]; detection of mixed eccentricity using complex apparent power for utility [14] and inverter-fed drives [15]; Hilbert transform and motor current demodulation analysis [16], [17]; fuzzy logic [18]; spectrum analysis of stator current, voltage, and stator direct-axis current of a dual stator induction motor for eccentricity faults [19]; discrete-wavelet-transform-based MCSA of mixed eccentricity [20]; reluctance mesh modeling of induction motor with eccentricity [21]; noise reduction in mixed eccentricity fault detection using autocorrelation [22]; and their detection in motors driven from voltage source inverter-pulse width modulated inverters [23], [24], this basic issue is yet to be resolved. More literature surveys in the area of eccentricity-fault diagnosis of brushless dc motors using analytic wavelet ridge [25] and using FE analysis of permanent-magnet synchronous motors [26] and regular synchronous machines [27], [28] also did not reveal anything significant.…”
Section: Introductionmentioning
confidence: 88%
“…Although substantial research has been conducted in this area with regard to the effect of load on low-frequency sidebands with mixed eccentricity [8], [9]; pure dynamic eccentricity [10]; a thorough FE study of mixed eccentricity [11]; stray flux [12]; increase in transient leakage reactance [13]; detection of mixed eccentricity using complex apparent power for utility [14] and inverter-fed drives [15]; Hilbert transform and motor current demodulation analysis [16], [17]; fuzzy logic [18]; spectrum analysis of stator current, voltage, and stator direct-axis current of a dual stator induction motor for eccentricity faults [19]; discrete-wavelet-transform-based MCSA of mixed eccentricity [20]; reluctance mesh modeling of induction motor with eccentricity [21]; noise reduction in mixed eccentricity fault detection using autocorrelation [22]; and their detection in motors driven from voltage source inverter-pulse width modulated inverters [23], [24], this basic issue is yet to be resolved. More literature surveys in the area of eccentricity-fault diagnosis of brushless dc motors using analytic wavelet ridge [25] and using FE analysis of permanent-magnet synchronous motors [26] and regular synchronous machines [27], [28] also did not reveal anything significant.…”
Section: Introductionmentioning
confidence: 88%
“…Dynamic REs incur due to a misaligned coupling flange between generator and prime mover (diesel engine), Fig. 2, or to UMP and bent axis [6]. Since the ship's structure is mechanically and thermally solicited, the drawbacks above are usually more prominent than in on shore installations.…”
Section: A the Needfor On-board Air-gap Monitoringmentioning
confidence: 97%
“…Development of models for simulation of eccentric-rotor synchronous machines: Dynamic numerical models based on winding function approach (WF A) and on time-stepping [mite-element method (TSFEM) were carried out for round rotor and salient-pole machines used on-board and in laboratory. The simulations allowed in-depth investigation of phase voltages, phase currents, and internal currents in various load and eccentricity fault conditions [6], [17], [18], [8]. The internal currents finally appeared as the best means for RE diagnosis, and the complex internal current space vectors were elected as main analysis tools.…”
Section: A Research Planmentioning
confidence: 99%
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