Reliability modeling of multiple performance based on degradation values distribution

Li, Haiqing; Li, Ruizhi; Li, Haowei; Yuan, Rong

doi:10.1177/1687814016673755

Cited by 17 publications

(9 citation statements)

References 29 publications

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“…[46][47][48][49][50][51][52] This process can affect the reliability of equipment performance or even result in the failure of works. 12,[53][54][55][56][57][58][59][60][61] To enhance safety, many different uncertainty analysis and reliability evaluation approaches were proposed and developed in the past decades. In general, three types of these approaches are usually been utilized.…”

Section: Simulation or Approximation Reliability Methodsmentioning

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

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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Section: Simulation or Approximation Reliability Methodsmentioning

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

137

View full text Add to dashboard Cite

show abstract

“…Compared to conventional performance degradation analysis, the introduction of acceleration factors often leads to an increase in model parameters, which can result in the loss of accuracy of model parameter estimation under finite degradation data [16]- [18]. However, the introduction of the acceleration factor is often accompanied by the perception of the performance degradation mechanism, which also makes it possible to use historical data and empirical information about product performance degradation [19], [20].…”

Section: Introductionmentioning

confidence: 99%

A Reliability Analysis Method of Accelerated Performance Degradation Based on Bayesian Strategy

et al. 2019

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In order to achieve a longer life cycle, higher reliability is necessary for products. Generally, the traditional reliability analysis methods can be performed based on sufficient failure data. However, it is difficult to get such amount of failure data in practical engineering, which brings challenges to the traditional reliability analysis methods. Consequently, the traditional reliability analysis methods are not suitable for the case of no failure data or less failure data. In order to tackle the above challenges, an uncertainty analysis strategy using accelerated performance degradation information is given. While, in this method, the utilization of acceleration factor increases the number of model parameters, which lead to the loss of the accuracy of the model parameter estimation under the finite degradation data. To enhance the above strategy, a reliability analysis method of accelerated performance degradation based on Bayesian strategy is proposed in this study. The accelerated performance degradation analysis method combining historical degradation data and empirical information is introduced here. An engineering example of CNC machine tool function milling head is also used to illustrate the effectiveness of the given method.

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“…Many strategies have been introduced into double-loop approaches to reduce the computational cost. In general, these strategies include modifying the formulation of probability constraint [34][35][36] and enhancing efficiencies of optimization algorithms in reliability analysis [31,[37][38][39].…”

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

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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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Reliability modeling of multiple performance based on degradation values distribution

Cited by 17 publications

References 29 publications

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

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

A Reliability Analysis Method of Accelerated Performance Degradation Based on Bayesian Strategy

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

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