Abstract The traditional reliability analysis method based on probabilistic requires probability distributions of all the uncertain parameters. However, in practical applications, some parameters may not be precisely known due to lack sufficient sample data. theory cannot directly measure structures with epistemic uncertainty, ie, subjective randomness and fuzziness. Hence, a hybrid (HRA) problem will caused when aleatory uncertainties coexist structure. In this paper, by combining...

Reliability analysis and trade-offs between safety cost with insufficient data represent an inevitable problem during the early stage of structural design. In this paper, efficient uncertainty theory-based reliability a design method are proposed under epistemic uncertainty. The factors influencing structure regarded as uncertain variables. Based on this, new metric termed measure is employed to define indicator (URI) for estimating reliable degree structure. Two solving methods, namely,...

For structures with both random and fuzzy uncertainty, this paper presents a novel method for determining the membership function in reliability Automatic Updating Extreme Response Surface (AUERS) method. In proposed method, variables are initially converted into value domain under given cut level extreme point where reaches its is considered. Second, Particle Swarm Optimization (PSO) algorithm used to determine according responses different sets of sample inputs. A kriging response surface...

Abstract For the systems that experience competing failure processes, an uncertain process–based degradation model is developed to describe systems. The process composed of internal continuous and external shocks, mutual dependence between them considered. When magnitude exceeds threshold, soft occurs. While for shock processes involving randomness subjective information, we adopt random renewal reward characterize it. Hard occurs when damage strength threshold system. By using belief...

Structural health monitoring enables corrosion fatigue damage for in‐service structures to be evaluated and prognosis management perform. In this paper, a Bayesian inference method using random walks is implemented estimate the reliability of such as pipelines subjected repeated pressurization cycles corrosive agents. The proposed eliminates intermediate step in updating process computes cumulative distribution function instead calculating probability density individual parameters...

This paper presents a novel procedure based on first-order reliability method (FORM) for structural analysis with hybrid variables, that is, random and interval variables. can significantly improve the computational efficiency abovementioned (HRA), while generally providing sufficient precision. In proposed procedure, problem is reduced to standard polar coordinates, where an n -dimensional limit-state function defined only in terms of two Firstly, linear Taylor series used approximate...

This paper proposes a novel dynamic Petri net (PN) model based on Dempster-Shafer (D-S) evidence theory, and this improved evidential (EPN) is used in knowledge inference reliability analysis of complex mechanical systems. The EPN could take epistemic uncertainty such as interval information, subjective information into account by applying D-S quantification theory. A representation also proposed the operation rules model, an artificial bee colony (ABC) algorithm employed to proceed...

In traditional mechanism reliability analysis, probability theory or statistical approaches are employed. However, these methods cannot be used under lack of data and great epistemic uncertainty. this paper, an advanced analysis method is put forward based on uncertain meas ure. To satisfy the subadditivity uncertainties, a novel uncertainty quantification proposed for analysis. Then, point kinematic combined with measure presented to calculate motion at each time instant. Three models...

In this paper, after analyzing the dynamic and multistate reliability characteristic of mechatronic-hydraulic product, a method for design multi-state simulation platform product is proposed, then main function framework represented. The two key techniques (the integration interface CAD/CAE) its solution methods are discussed. Finally, one illustrative example carried out to validate performance platform. This can carry analysis will be significant engineering practicability.

This paper focused on embedding PFMEA (Process Failure Mode Effect Analysis) module in the system of CAPP (Computer Aided Process Planning), and achieved integrated technology Reliability design with CAPP. It introduced functional instruction, flow chart main software designed dependence. The corresponding package was deloped to verify application producing a foundry goods.

In recent advances for fuzzy dynamic modeling problem, two-stage equivalent value (EV) programming as an alternative optimization technology has been put forward to make the problem tractable in decision-making systems. The main purpose of this paper is provide a new methodology comput ing EV with finite number second-stage realizations, which analytic and systematic rather than approximate strategy. Firstly, we two definitions sense Lebesgue-Stieltjes (L-S) integral, where L-S measures are...

In this presented work, a reliability sensitivity analyzing method was proposed for the resonance failures of gear-rotor systems with multiple random parameters. First, eigenvectors corresponding to natural frequencies system governed by deterministic parameters were deduced. Mass and stiffness matrices then decomposed into sub-matrices in form multiplied Rayleigh quotient formula utilized derive explicit expressions system. Then, limit state functions resonant under an external load excited...

As the aviation system becomes more and complex, conventional fault tree analysis (e. g, top-down bottom-up) techniques, which used to calculate component importance in , is often faced limitations terms of accuracy efficiency. The Binary Decision Diagram (BDD) method, that can be implemented computer efficiently, has characteristic high efficiency calculation precise result. This paper will talk about new method or way instead (FTA) order improve system's design increase component's reliability.

The uncertainty of the interval variable is represented by factor, and described as its mean value multiplied factor. Based on arithmetic rules, an analytical method finite element for uncertain structures but not probabilistic structure or fuzzy presented combining analysis with method. static truss parameters under load studied expressions structural displacement response stress are deduced. influences one examined through examples some significant conclusions obtained.

This paper presents a Bayesian-based information aggregation approach addressing two critical issues in modeling hierarchical systems, (i) the imbalance between adjacent levels multi-level and (ii) limitation of utilizing multi-type reliability test data embedded conventional proposals. The proposed methodology can significantly improve accuracy system-level by aggregating throughout system.

The Bayesian Network (BN) as a probability-based knowledge representation method is appropriate for modeling complex mechanism system reliability, when it of interest in structures or multiple failure modes the system. This paper presents new Grey (GBN) to solve reliability problem with incomplete information and high uncertainty. In this model, grey probability density functions (GPDF) its nodes are obtained by generation theory interval analyses instead ones represent random variables....

Mechanism reliability includes structural of mechanism components and kinematic the mechanism. In fact, in practice usually considers only Strength degradation including fatigue, wear, corrosion, motion error, etc., are major failure systems, sub-systems or components. this paper, it is based on synthesis. addition, paper time dependence strength fuzziness state analysis. mainly error wear. Fuzzy time-dependent mathematical model established fuzzy methods, such as PHI2\MCS, combined with...

Complex electromechanical systems considering performance degradation are multi-state which cannot be described by traditional reliability theories based on the binary states assumption. Generally, such contain both electronic and mechanical components that have different failure mechanism characteristics. In addition, of system its time-variant, makes modeling analysis challenging. To overcome these difficulties, a hierarchical approach is proposed in this paper. At component level, we...

A Bayesian method is adopted to infer the mechanical property parameters and layup orientation angle of a composite wing in this paper. In order make calculation feasible, basis-adaptive PC-Kriging model proposed, which can replace finite element accurately. Considering that simulation high-dimensional model, AIES algorithm used calibration wing, because it shows good performance processing strongly correlated posterior distribution parameters. Finally, comparing predicted with real...