Research on Reliability of Electromechanical System Based on the Competition Mode

2013 ◽  
Vol 397-400 ◽  
pp. 1188-1191
Author(s):  
Wei Han ◽  
Shi Ju Sun ◽  
Yong Liu ◽  
Qiang Liu
Keyword(s):  
System Design ◽  
Failure Modes ◽  
Rapid Development ◽  
Electromechanical System ◽  
Analysis Method ◽  
Reliability Modeling ◽  
Soft Failure ◽  
Modeling Analysis ◽  
Competition Mode ◽  
Degradation Failure

The reliability of electromechanical system is one of the key problems to restrict the rapid development of electromechanical system. Based on traditional reliability analysis methods, the degradation failure modes of electromechanical system are investigated, the reliability modeling analysis method based on competing mode of hard and soft failure is presented. The relations between reliability, failure rate, MTBF and failure threshold are analyzed by this method. The results can help to optimize electromechanical system design.

Reliability modeling and analysis for systems governed by multiple competing failures processes

2020 ◽  
pp. 1748006X2097447
Author(s):  
Hongda Gao ◽  
Dejing Kong ◽  
Yixin Sun
Keyword(s):  
Process Model ◽  
Failure Modes ◽  
Failure Process ◽  
Extended Model ◽  
Reliability Modeling ◽  
Modeling And Analysis ◽  
Soft Failure ◽  
Shock Process ◽  
Hard Failure ◽  
Reliability Systems

Due to that the operating environment is becoming more and more complex and rigorous, the multiple competing failure modes for the reliability system is much commonly seen. In order to improve the system performance, a sensor-based degradation calibration policy (SBDC policy) is presented in this paper. The model considers the competing failure process which is described by the soft and hard failure modes. In detail, the soft failures occur when the degradation of the system exceeds the failure threshold, and the hard failures are caused by the same shock process. We use the Wiener process model to describe the soft failure and the shock process to describe the catastrophic failure. Meanwhile, in the shock process, the damage associated with the system is normal distributed which is related to the duration of the adjacent shocks. This extended model with calibrations has a good application value for the corresponding complex reliability systems which are subject to the dependent competing failure modes. By the model in this article, the system reliability and safety can be improved and the risk of the abrupt damage shall be reduced as the circumstance changes.

Reliability Demonstration Method for Competing Failure System

2020 ◽  
Vol 27 (04) ◽  
pp. 2050015
Author(s):  
Teng Fei ◽  
Hao-Wei Wang
Keyword(s):  
Failure Modes ◽  
Reliability Assessment ◽  
Competing Risk ◽  
Failure Model ◽  
Reliability Modeling ◽  
Space Model ◽  
Degradation Data ◽  
System A ◽  
Degradation Failure ◽  
Degradation Degree

In order to improve the accuracy of reliability assessment for the system with multiple failure modes, a reliability modeling method based on the s-dependent competing risk of degradation failures and traumatic failures was proposed. A condition space model was applied to evaluate the degradation degree of system by fusing multivariate degradation data, and then Gamma process was utilized to establish the degradation failure model of system. A conditional Weibull distribution was used to establish the traumatic failure model of system. The reliability model based on dependent competing risk was established by assuming that the probability of traumatic failure depends on the degradation degree of system. An illustrative example was provided to validate the effectiveness of the proposed method.

scholarly journals Failure modes and reliability oriented system design for aerospace power electronic converters

2020 ◽  
pp. 1-1
Author(s):  
Jayakrishnan Harikumaran ◽  
Giovanni Migliazza ◽  
Giampaolo Buticchi ◽  
Vincenzo Madonna ◽  
Paolo Giangrande ◽  
...  
Keyword(s):  
System Design ◽  
Failure Modes ◽  
Power Electronic ◽  
Power Electronic Converters ◽  
Oriented System

Reliability Analysis of Uncertain Nonlinear System Subject to Correlated Failure

2008 ◽  
Vol 44-46 ◽  
pp. 515-522
Author(s):  
X.F. Zhang ◽  
Yi Min Zhang ◽  
Xian Zhen Huang
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Failure Modes ◽  
Fourth Moment ◽  
Strongly Correlated ◽  
Hysteretic Model ◽  
Analysis Method ◽  
Random Parameters ◽  
Uncertain Nonlinear System ◽  
Probability Information

On the basis of the Bouc-Wen hysteretic model, a numerical method for the reliability analysis of stochastic multi-degree-of-freedom hysteretic system with correlated failure modes is presented. Under the first passage model, considering the random caused by hysteretic loop itself, the theory of incomplete probability information and the fourth-moment technique and Gram Charlier series are employed to develop a numerical reliability analysis method systematically. The numerical example reveals that in most of cases, though system is characterized by a set of independent random parameters, the responses are strongly correlated, and correlation coefficient between the responses is fluctuated with time. The system reliability with correlated failure modes is evaluated with proposed method, and the result obtained by this method is compared well with the Monte-Carlo simulations.

FMECA Modelling and Analysis in Blood Transfusion Chain

2017 ◽  
Vol 5 (1) ◽  
pp. 23-39
Author(s):  
Francesco Zedda ◽  
Gianluca Borelli ◽  
Francesco Valentino Caredda ◽  
Alessandro Fanti ◽  
Gianluca Gatto ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Blood Transfusion ◽  
Performance Indicators ◽  
Failure Modes ◽  
Actual Process ◽  
Clinical Risk Management ◽  
Analysis Method ◽  
Rfid Technology ◽  
Enhance Patient Safety ◽  
Concise Description

This paper describes the modelling and analysis of the processes and activities used in the Blood Transfusion Centre of Hospital Brotzu (Cagliari – Italy), via FMECA (Failure Modes Effects and Criticalities Analysis) method, in order to enhance patient safety and improve clinical risk management. The first part of the study consists on an analysis of the present blood transfusion chain processes (AS-IS), obtained by reverse engineering. Then a concise description of the FMECA methodology is presented. After the introduction of the reengineered process (TO-BE), developed via introduction of RFID technology, the results of simulation will be presented. For each activity of the two configurations studied (AS-IS and TO-BE) some performance indicators were evaluated, then a sensitivity analysis has been carried out to investigate the consistency of FMECA analysis. Finally follows the comparison of results between the simulation of actual process and the reengineered one.

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