Time-variant reliability assessment for multiple failure modes and temporal parameters

Yu, Shui; Wang, Zhonglai; Meng, Debiao

doi:10.1007/s00158-018-1993-4

Cited by 75 publications

(28 citation statements)

References 53 publications

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“…Step 5 the same time. In the same year [9], he also proposed a method based on fault process decomposition to improve computational efficiency and ensure computational accuracy [10]. Li Fangyi proposed a sequential sampling method based on the hybrid model of probability and convex set to solve the reliability-based design optimization problem [11].…”

Section: Calculate the Real Time Health Indexesmentioning

confidence: 99%

Application of AHP and EIE in Reliability Analysis of Complex Production Lines Systems

Niu

Wang

et al. 2019

Mathematical Problems in Engineering

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It is necessary to grasp the operation state of the production system for scientific scheduling, process improvement, fault analysis, equipment maintenance, or replacement. The matter-element information entropy is proposed to evaluate the health index of the product line, and the parameter self-optimization support vector machine is used to predict the future health index. A new type of three-dimensional cross compound element is established by synthesizing the operation state of equipment, energy consumption, production efficiency, and human factors. The subjective, objective, and joint weights are determined by the analytic hierarchy process (AHP) method, entropy, and the combination weighting method, respectively. The health index is calculated by complex element correlation entropy. The calculations of the beer filling production line show that the combined weighting method is an effective method on the health index calculation and can accurately reflect the actual operation state of the production. Support vector machine (SVM) optimized by multiparameters is established to predict the health index; the simulation shows that Least Squares Support Vector Machine (LSSVM) based on radial basis function (RBF) has prominent prediction effect. It can provide accurate data support for the production and management of enterprises.

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Section: Calculate the Real Time Health Indexesmentioning

confidence: 99%

Application of AHP and EIE in Reliability Analysis of Complex Production Lines Systems

Niu

Wang

et al. 2019

Mathematical Problems in Engineering

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“…Although many researches have been published in this field, challenges still exist for simulating the fluidstructure coupled effect of blades accurately in practical engineering, especially in the situation that there are high design dimensions and non-linearity MDO problems. [30][31][32][33][34][35][36] To solve the above problem, a fluid-structure multidisciplinary analysis approach is proposed here. The total pressure ratio and the adiabatic efficiency of blades are analyzed here by the given method.…”

Section: Introductionmentioning

confidence: 99%

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

Meng

Yang

Zhang³

et al. 2018

Fatigue Fract Eng Mat Struct

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137

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In power and energy systems, both the aerodynamic performance and the structure reliability of turbine equipment are affected by utilized blades. In general, the design process of blade is high dimensional and nonlinear. Different coupled disciplines are also involved during this process. Moreover, unavoidable uncertainties are transported and accumulated between these coupled disciplines, which may cause turbine equipment to be unsafe. In this study, a saddlepoint approximation reliability analysis method is introduced and combined with collaborative optimization method to address the above challenge. During the above reliability analysis and design optimization process, surrogate models are utilized to alleviate the computational burden for uncertainties‐based multidisciplinary design and optimization problems. Smooth response surfaces of the performance of turbine blades are constructed instead of expensively time‐consuming simulations. A turbine blade design problem is solved here to validate the effectiveness and show the utilization of the given approach.

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“…The Reliability-Based Multidisciplinary Design Optimization (RBMDO) has obtained more and more attention for the high reliability and safety of complex engineering systems [1][2][3][4][5][6][7][8][9][10]. Generally, the RBMDO process involves a three-level optimization loop [11][12][13][14][15][16]. The inner loop deals with the interactions between coupled variables and the outer loop explores design space to obtain optimal design solutions.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Reliability Index Method and Its Application in Reliability-Based Collaborative Design and Optimization

Meng

Zhu

et al. 2019

Mathematical Problems in Engineering

Self Cite

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When designing complex mechanical equipment, uncertainties should be considered to enhance the reliability of performance. The Reliability Index Method (RIM) is a powerful tool which has been widely utilized in engineering design under uncertainties. To reduce computational cost in RIM, first or second order Taylor approximation is introduced to convert nonlinear probability constraint to the equivalent linear constraint during optimization process. Generally, this approximation process is performed at Most Probable Point (MPP) to reduce the loss of reliability analysis accuracy. However, it is difficult for the original RIM to be utilized in the situation that MPP is collinear and RIM has the same direction with the gradient of performance function at MPP. To tackle the above challenges, an Enhanced RIM (ERIM) is proposed in this study. The Collaborative Optimization (CO) strategy is combined with ERIM. The formula of CO using ERIM is given to solve reliability-based multidisciplinary design and optimization problems. A design problem of the speed reducer is utilized in this study to show the effectiveness of the proposed method.

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Time-variant reliability assessment for multiple failure modes and temporal parameters

Cited by 75 publications

References 53 publications

Application of AHP and EIE in Reliability Analysis of Complex Production Lines Systems

Application of AHP and EIE in Reliability Analysis of Complex Production Lines Systems

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

An Enhanced Reliability Index Method and Its Application in Reliability-Based Collaborative Design and Optimization

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