Online Model-Based Condition Monitoring for Brushless Wound-Field Synchronous Generator to Detect and Diagnose Stator Windings Turn-to-Turn Shorts Using Extended Kalman Filter

Nadarajan, Sivakumar; Panda, Sanjib Kumar; Bhangu, Bicky; Gupta, Amit Kumar

doi:10.1109/tie.2016.2535959

Cited by 57 publications

(25 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, the flux linkage produced by the rotor PM is analyzed. The magnets on the rotor produce symmetrical flux linkages in ABC phases of the fault set given by (1) when high order harmonics are neglected.…”

Section: A Flux Linkage By Rotor Pmmentioning

confidence: 99%

“…It usually involves only a few turns due to insulation breakdown and results in very low impedance for the short circuit loop. As a result, excessive current will be induced in the fault path and jeopardize the whole machine drives [1,2]. According to the survey in [3][4][5][6], the stator turn fault accounts for about 21% of total failures in the machine drives.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Turn Fault Mitigation Strategy Based on Current Injection Technique for a Triple Three-Phase PMA SynRM

Wang

Griffo

et al. 2020

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

show abstract

Section: A Flux Linkage By Rotor Pmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Turn Fault Mitigation Strategy Based on Current Injection Technique for a Triple Three-Phase PMA SynRM

Wang

Griffo

et al. 2020

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

show abstract

“…To deal the problem of multiple and simultaneous faults detection and localization,the use of a bank of Kalman filters is mainly intresting, this bank can be designed according to a dedicated observer scheme (DOS) as in [17] or structured using a generalized observer scheme (GOS) such as in [18]. In this paper, a bank of EKF structured using the dedicated observer scheme is used for sensor and parameter faults detection and isolation of DFIG's wind turbine.…”

Section: Bank Of Extended Kalman Filters For Faults Diagnosis In Windmentioning

confidence: 99%

Bank of Extended Kalman Filters for Faults Diagnosis in Wind Turbine Doubly Fed Induction Generator

Idrissi¹,

Chafouk²,

Bachtiri³

et al. 2018

TELKOMNIKA

View full text Add to dashboard Cite

In order to increase the efficiency, to ensure availability and to prevent unexpected failures of the doubly fed induction generator (DFIG), widely used in speed variable wind turbine (SVWT), a model based approach is proposed for diagnosing stator and rotor winding and current sensors faults in the generator. In this study, the Extended Kalman Filter (EKF) is used as state and parameter estimation method for this model based diagnosis approach. The generator windings faults and current instruments defects are modelled, detected and isolated with the use of the faults indicators called residuals, which are obtained based on the EKF observer. The mathematical model of DFIG for both healthy and faulty operating conditions is implemented in Matlab/Simulink software. The obtained simulation results demonstrate the effectiveness of the proposed technique for diagnosis and quantification of the faults under study.

show abstract

“…There are several published works about ESA-based methodologies for fault detection in synchronous machines. ESA has been used mainly for detection of stator winding inter-turn short circuit [11][12][13][14][15][16], rotor winding inter-turn short circuit [11,13,[17][18][19][20], air-gap eccentricity [21][22][23][24][25], and rotating diode failure [26,27]. There are also works approaching various electrical and mechanical faults in SGs [28].…”

Section: Introductionmentioning

confidence: 99%

A Study of Fault Diagnosis Based on Electrical Signature Analysis for Synchronous Generators Predictive Maintenance in Bulk Electric Systems

Salomon

Ferreira

Sant’Ana³

et al. 2019

Energies

View full text Add to dashboard Cite

The condition of synchronous generators (SGs) is a matter of great attention, because they can be seen as equipment and also as fundamental elements of power systems. Thus, there is a growing interest in new technologies to improve SG protection and maintenance schemes. In this context, electrical signature analysis (ESA) is a non-invasive technique that has been increasingly applied to the predictive maintenance of rotating electrical machines. However, in general, the works applying ESA to SGs are focused on isolated machines. Thus, this paper presents a study on the condition monitoring of SGs in bulk electric systems by using ESA. The main contribution of this work is the practical results of ESA for fault detection in in-service SGs interconnected to a power system. Two types of faults were detected in an SG at a Brazilian hydroelectric power plant by using ESA, including stator electrical unbalance and mechanical misalignment. This paper also addresses peculiarities in the ESA of wound rotor SGs, including recommendations for signal analysis, how to discriminate rotor faults on fault patterns, and the particularities of two-pole SGs.

show abstract

Online Model-Based Condition Monitoring for Brushless Wound-Field Synchronous Generator to Detect and Diagnose Stator Windings Turn-to-Turn Shorts Using Extended Kalman Filter

Cited by 57 publications

References 23 publications

A Turn Fault Mitigation Strategy Based on Current Injection Technique for a Triple Three-Phase PMA SynRM

A Turn Fault Mitigation Strategy Based on Current Injection Technique for a Triple Three-Phase PMA SynRM

Bank of Extended Kalman Filters for Faults Diagnosis in Wind Turbine Doubly Fed Induction Generator

A Study of Fault Diagnosis Based on Electrical Signature Analysis for Synchronous Generators Predictive Maintenance in Bulk Electric Systems

Contact Info

Product

Resources

About