Power electronics reliability and stochastic perfonnances of innovative ac traction drives: a comparative analysis

Bozzo, R.; Fazio, Vincenzo; Savio, S.

doi:10.1109/ptc.2003.1304473

Cited by 9 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among the studies on the reliability of railway repairable systems highlighting alternative models to the SPs are those of Anderson and Peters (1993) in locomotives; Yongqin and Xishi (1996) in ATP systems; and Bozzo et al (2003), Sagareli (2004), and Chen et al (2007) in AC traction systems. For studies implementing SPs models, see Panja and Ray (2007) in signaling and Luo et al (2010) in brake control.…”

Section: Case Studymentioning

confidence: 99%

Reliability analysis in railway repairable systems

Navas¹,

Sancho

Carpio

2017

IJQRM

View full text Add to dashboard Cite

Purpose The purpose of this paper is to present the results of the application of various models to estimate the reliability in railway repairable systems. Design/methodology/approach The methodology proposed by the International Electrotechnical Commission (IEC), using homogeneous Poisson process (HPP) and non-homogeneous Poisson process (NHPP) models, is adopted. Additionally, renewal process (RP) models, not covered by the IEC, are used, with a complementary analysis to characterize the failure intensity thereby obtained. Findings The findings show the impact of the recurrent failures in the times between failures (TBF) for rejection of the HPP and NHPP models. For systems not exhibiting a trend, RP models are presented, with TBF described by three-parameter lognormal or generalized logistic distributions, together with a methodology for generating clusters. Research limitations/implications For those systems that do not exhibit a trend, TBF is assumed to be independent and identically distributed (i.i.d.), and therefore, RP models of “perfect repair” have to be used. Practical implications Maintenance managers must refocus their efforts to study the reliability of individual repairable systems and their recurrent failures, instead of collections, in order to customize maintenance to the needs of each system. Originality/value The stochastic process models were applied for the first time to electric traction systems in 23 trains and to 40 escalators with ten years of operating data in a railway company. A practical application of the IEC models is presented for the first time.

show abstract

Section: Case Studymentioning

confidence: 99%

Reliability analysis in railway repairable systems

Navas¹,

Sancho

Carpio

2017

IJQRM

View full text Add to dashboard Cite

show abstract

“…Several reliability-modelling techniques are available in the literature, including reliability block diagrams (RBDs), fault trees and Markov models [2][3][4][5]. However, these models are designed separately for each of the failure modes.…”

Section: Introductionmentioning

confidence: 99%

Reliability modelling and assessment of electric motor driven systems in hydrocarbon industries

Badawi

Al-Muhaini

2015

IET Electric Power Applications

View full text Add to dashboard Cite

Reliability is a significant performance index for any electrical equipment in the industry, especially for electric motor driven (EMD) systems. Modelling the reliability of an EMD system is a difficult and challenging task. However, based on field data, the dominant failure modes of some motor system parts can be used to develop a simple and credible reliability model. This study proposes a failure rate prediction model for an EMD system that is currently in use in hydrocarbon industries. In addition, a fault tree model was designed to identify the root causes of the failures and the failure mechanism of the most dominates failure modes in EMD systems. To accomplish the study's objectives, an existing failure databank of over 100 failures of EMD systems was collected and surveyed from the field. The historical information and failure rate models that were collected for the electric motors are investigated and used to model the prediction model of the EMD system. Three competing failure modes were found to dominate motor life: bearing failures, winding failures and shaft failures. A mathematical model for each of these failure modes with dominant variables is developed, and a risk failure model is established.

show abstract

“…For example, the reliability of the motor and supply is presented in [26]. Component reliability analyses are presented in [27][28][29]. In [28], faults in control, power electronics, and the motor are addressed, while in [27] control faults are ignored and faults in the transformer and line filters are considered.…”

Section: Introductionmentioning

confidence: 99%

“…Component reliability analyses are presented in [27][28][29]. In [28], faults in control, power electronics, and the motor are addressed, while in [27] control faults are ignored and faults in the transformer and line filters are considered. The work presented in [29] also ignores control, but considers cooling faults.…”

Section: Introductionmentioning

confidence: 99%

A method for impact assessment of faults on the performance of field-oriented control drives: A first step to reliability modeling

Bazzi

Domínguez-García

Krein

2010

2010 IEEE Applied Power Electronics Conference and Exposition - APEC 2010

View full text Add to dashboard Cite

In this paper, the effects of certain component faults on the performance of three-phase inverter-fed induction motors are analyzed under indirect fieldoriented control. Simulations of faults in the current sensors, speed encoder, three-phase inverter, and motor are presented. Sample hardware faults verifying the simulation results are also presented. Performance requirements are set based on typical performance measures of electric vehicles. These requirements are then used to determine whether or not the system survives a fault. A simple fault detection and isolation scheme using multiple speed encoders is also tested. The construction of a Markov reliability model of the overall system is a direct application of the results, and allows quantifying global reliability measures. I.978-1-4244-4783-1/10/$25.00 ©2010 IEEE

show abstract

Power electronics reliability and stochastic perfonnances of innovative ac traction drives: a comparative analysis

Cited by 9 publications

References 6 publications

Reliability analysis in railway repairable systems

Reliability analysis in railway repairable systems

Reliability modelling and assessment of electric motor driven systems in hydrocarbon industries

A method for impact assessment of faults on the performance of field-oriented control drives: A first step to reliability modeling

Contact Info

Product

Resources

About