Dynamic Reliability Analysis of Mechanical Components Based on Equivalent Strength Degradation Paths

Abstract

In the design stage of mechanical components, the uncertainty in both the environmental load and the material parameters needs to be taken into consideration and a safety margin is required to guarantee the intrinsic reliability of mechanical components. The safety factor is comprehensively used in the practical design of mechanical components, which is industry specific and determined by the experience of engineers. However, the empirical safety factor cannot quantify the uncertainty and risk in mechanical design. Therefore, reliability analysis of mechanical products has gained more and more popularity [1] to [3].Reliability is defined as the probability that a product performs its intended functions without failure during a specified time period. For mechanical components, the load-strength interference (LSI) model is the most important analytical method in reliability assessment. The conventional LSI model is essentially a static reliability model. However, gradual failure of mechanical components commonly exists in practical engineering due to the strength degradation caused by corrosion, wear, erosion creep, etc. As pointed out by Martin, constructing reliability models considering strength degradation is an important issue for reliability estimation and further research on generalized methods for the dynamic reliability analysis of mechanical components is imperative [4].To overcome the shortcomings of conventional LSI models, reliability models based on stochastic process theory are investigated in which load and strength are modelled as two stochastic processes. Lewis [5] analysed the time-dependent behaviour of a 1-out-of-2: G redundant system by combining the LSI model with a Markov model. Geidl and Saunders [6] introduced time-dependent elements into the reliability equation to estimate the reliability. Somasundaram and Dhas [7] put forward a generalized formula to estimate the reliability of a dynamic parallel system, in which components equally shared the load. Noortwijk and Weide [8] developed a reliability model, in which load and strength are described as two stochastic processes. Labeau et al. proposed the framework of a dynamic reliability platform and identified its main constituents [9]. Zhang et al. analysed the main methods for dynamic reliability estimation of nuclear power plants, which include discrete dynamic event trees and Monte Carlo simulation [10]. Slak analysed production planning and scheduling, cutting tools and material flow process, and manufacturing capacities [11]. Barkallah et al. proposed a method for process planning to determine the tolerance for manufacturing with statistical tools [12].As a matter of fact, the reliability models based on stochastic process theory, such as the timedependent model, Markov model, etc, are the most important tools for dynamic reliability analysis. The Markov models are mainly used for dynamic reliability analysis of electronic elements and multi- Dynamic Reliability Analysis of Mechanical Components Based on Equivalent Strength Degradat...

Dynamic Reliability Analysis Method of Degraded Mechanical Components Based on Process Probability Density Function of Stress

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Reliability Assessment of Bearings Based on Performance Degradation Values under Small Samples

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Fuzzy Dynamic Reliability Models of Parallel Mechanical Systems Considering Strength Degradation Path Dependence and Failure Dependence

“…Most of current fuzzy reliability models of mechanical components and mechanical systems are static, which are only suitable for the reliability calculation at a specific moment as shown in Figure 2. As mentioned in the authors' former research in [14], when considering the strength degradation process of mechanical components, the strength degradation path dependence (SDPD) is a main problem to be addressed in developing dynamic reliability of mechanical components, which also exists in establishing fuzzy reliability models. As a matter of fact, fuzzy dynamic reliability models of parallel mechanical systems considering SDPD is seldom reported.…”