A new reliability analysis method for vehicle systems based on goal-oriented methodology

2016 ◽  
Vol 231 (8) ◽  
pp. 1066-1095 ◽  
Author(s):  
Xiao-Jian Yi ◽  
Balbir Singh Dhillon ◽  
Jian Shi ◽  
Hui-Na Mu ◽  
Zhong Zhang
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Fault Tree Analysis ◽  
Analysis Method ◽  
Reliability Modeling ◽  
Availability Analysis ◽  
Analysis Process ◽  
Power Shift ◽  
Vehicle Systems ◽  
Loop Feedback

This paper presents a new approach for the reliability analysis of vehicle systems by considering typical characteristics based on goal-oriented methodology. First, solutions are proposed for vehicle systems with multiple fault modes, a standby structure at any position, a multiple-input closed-loop feedback link, multiple functions, and multiple conditions for the goal-oriented method. Then, a two-level goal-oriented model and the new rules of goal-oriented operation for such vehicle systems are proposed. Furthermore, the quantitative method and the qualitative method are improved. In addition, the analysis process for these vehicle systems based on the new goal-oriented method is formulated. Finally, this new goal-oriented methodology is applied in the dynamic availability analysis and qualitative analysis of the power-shift steering transmission for a heavy military vehicle. In order to verify the feasibility, the advantages, and the correctness of the new goal-oriented methodology, the results are compared with those from fault tree analysis and Monte Carlo simulations. In general, this study not only improves the theory of the goal-oriented method and widens the application of the goal-oriented method but also provides a new reliability analysis method for such vehicle systems. In addition, the analysis process of the new goal-oriented method shows that the goal-oriented method has advantages in system reliability modeling and system reliability analysis for vehicle systems.

Reliability Analysis of Repairable System With Multiple-Input and Multi-Function Component Based on Goal-Oriented Methodology

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Xiao-Jian Yi ◽  
Jian Shi ◽  
Hui-Na Mu ◽  
Hai-Ping Dong ◽  
Zhong Zhang
Keyword(s):  
Reliability Analysis ◽  
Fault Tree Analysis ◽  
Repairable Systems ◽  
New Approach ◽  
Availability Analysis ◽  
Analysis Process ◽  
Power Shift ◽  
Comparison Results ◽  
Multiple Input ◽  
First Time

This paper proposes a new goal-oriented (GO) method for reliability analysis of repairable systems with multiple-input and multi-function component (MIMFC). First, a new GO operator combination, which is composed of a new function GO operator and a new auxiliary GO operator, is created to represent MIMFC. The new function GO operator named as Type 22 operator is created to represent MIMFC itself, and the auxiliary GO operator named as Type 15B operator is created to represent multi-condition control signals of MIMFC. Then, GO operation formulas of the new GO operator combination are deduced based on logical relationships among inputs, outputs, and the component itself. The reliability analysis process of the new GO method is formulated. Furthermore, this new GO method is applied for the first time in steady availability analysis and qualitative analysis of the fan drive system of a power-shift steering transmission. Finally, the results obtained by the new GO method are compared with the results of fault tree analysis (FTA) and Monte Carlo simulation (MCS), and the comparison results show that this new GO method is reasonable and advantageous in reliability analysis of repairable systems with MIMFC. Moreover, the analysis process shows that it is more advantageous in the aspect of building system models and conducting reliability analysis. Overall, this paper not only improves the basic theory of the GO method and expands the application of the GO method, but it also provides a new approach for reliability analysis of repairable systems with MIMFC.

Bayesian Networks Application in Multi-State System Reliability Analysis

2013 ◽  
Vol 347-350 ◽  
pp. 2590-2595 ◽  
Author(s):  
Sheng Zhai ◽  
Shu Zhong Lin
Keyword(s):  
Bayesian Network ◽  
Reliability Analysis ◽  
System Reliability ◽  
Prior Probability ◽  
State System ◽  
Weak Links ◽  
Uncertain Reasoning ◽  
Reliability Modeling ◽  
Line System ◽  
Reliability Indices

Aiming at the limitations of traditional reliability analysis theory in multi-state system, a method for reliability modeling and assessment of a multi-state system based on Bayesian Network (BN) is proposed with the advantages of uncertain reasoning and describing multi-state of event. Through the case of cell production line system, in this paper we will discuss how to establish and construct a multi-state system model based on Bayesian network, and how to apply the prior probability and posterior probability to do the bidirectional inference analysis, and directly calculate the reliability indices of the system by means of prior probability and Conditional Probability Table (CPT) . Thereby we can do the qualitative and quantitative analysis of the multi-state system reliability, identify the weak links of the system, and achieve assessment of system reliability.

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.

scholarly journals Parametric simulation analysis and reliability of escalator truss

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 938-942 ◽  
Author(s):  
Xiaowei Yin ◽  
Wenxue Qian ◽  
Hoang Pham
Keyword(s):  
Reliability Analysis ◽  
Parametric Analysis ◽  
Simulation Analysis ◽  
Research Work ◽  
Structural Member ◽  
Analysis Method ◽  
Reliability Modeling ◽  
Analysis Methods ◽  
The World ◽  
Dependent Failure

AbstractEscalators are now more and more widely used around the world. As escalator accidents occur from time to time, it is very important to analyze the structure and reliability of escalators. This paper studies the structure and reliability analysis methods of typical escalators. By applying parametric analysis methods, the efficiency and accuracy of escalator structure analysis are greatly improved. Because the failure of each structural member of the escalator truss system is dependent, this paper applies the dependent failure reliability modeling method and analyzes the reliability of the escalator truss system. The results show that the reliability analysis method of the truss system after considering the dependent failure is more reasonable. The above research work has certain reference significance for the design and analysis of escalators.

A Novel Time-Variant Reliability Analysis Method Based on Failure Processes Decomposition for Dynamic Uncertain Structures

2018 ◽  
Vol 140 (5) ◽  
Author(s):  
Shui Yu ◽  
Zhonglai Wang
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Dynamic Properties ◽  
Limit State ◽  
Quadratic Function ◽  
State Function ◽  
Analysis Method ◽  
Engineering Structures ◽  
Reliability Problem ◽  
Time Invariant

Abstract Due to the uncertainties and the dynamic parameters from design, manufacturing, and working conditions, many engineering structures usually show uncertain and dynamic properties. This paper proposes a novel time-variant reliability analysis method using failure processes decomposition to transform the time-variant reliability problems to the time-invariant problems for dynamic structures under uncertainties. The transformation is achieved via a two-stage failure processes decomposition. First, the limit state function with high dimensional input variables and high order temporal parameters is transformed to a quadratic function of time based on the optimized time point in the first-stage failure processes decomposition. Second, based on the characteristics of the quadratic function and reliability criterion, the time-variant reliability problem is then transformed to a time-invariant system reliability problem in the second-stage failure processes decomposition. Then, the kernel density estimation (KDE) method is finally employed for the system reliability evaluation. Several examples are used to verify the effectiveness of the proposed method to demonstrate its efficiency and accuracy.

Reliability Analysis Method for Multi-State Repairable Systems Based on Goal Oriented Methodology

2016 ◽  
Author(s):  
Xiaojian Yi ◽  
B. S. Dhillon ◽  
Hui-na Mu ◽  
Zhong Zhang ◽  
Peng Hou
Keyword(s):  
Reliability Analysis ◽  
Supply System ◽  
State Probability ◽  
Heavy Vehicle ◽  
Analysis Method ◽  
Repairable Systems ◽  
New Approach ◽  
Signal Flow ◽  
Hydraulic Oil ◽  
Analysis Process

This paper proposes a new GO method for repairable systems with multiple unstable operation states. First, multi-state signal flow and multi-state GO operator are defined, respectively. And the formula for calculating state probability of unit with multiple unstable operation states is deduced based on Markov theory. Furthermore, a new function GO operator named Type 19 is created to describe the unit stabilizing property. And its GO operation formulas for reliability analysis are deduced. On this basis, the reliability analysis process of multi-state repairable systems based on the new GO method is formulated. Then, this new GO method is applied in reliability analysis of Hydraulic Oil Supply System of a heavy vehicle. In order to verify the feasibility, advantage and reasonability of the new GO method, its analysis result is compared with those of FTA and the existing GO method for two-state repairable systems. All in all, this paper not only improves the theory of GO method, and widens the application of GO method, but also provides a new approach for reliability analysis of multi-state repairable systems.

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