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Article
Active learning strategy-based reliability assessment on the wear of spur gears
This study introduces the active learning strategy and Kriging model into the reliability assessment of spur gear wear. First, the wear model of spur gears is constructed based on Archard’s model, and its wear...
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Article
Probabilistic fatigue life prediction of bearings via the generalized polynomial chaos expansion
In this work, an uncertainty propagation method for the probabilistic fatigue life prediction is proposed on the basis of the generalized polynomial chaos theory, which takes into account the uncertainty of ma...
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Article
Health management of laser rangefinder considering maximum continuous working time
High-power lasers have severe thermal effects. The heat buildup during long-term operation will increase the threshold current of the laser and the internal defects, which will seriously affect the lifetime of...
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Article
A case study on safety integrity level analysis for shale gas station
Safety integrity level (SIL), as defined in IEC 61511, is a widely used safety performance measure for safety instrumented functions. Shale gas station is an important part of shale gas gathering and transport...
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Article
Open AccessFatigue Life Prediction of Rolling Bearings Based on Modified SWT Mean Stress Correction
The existing engineering empirical life analysis models are not capable of considering the constitutive behavior of materials under contact loads; as a consequence, these methods may not be accurate to predict...
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Article
Reliability analysis of rolling bearings considering internal clearance
The internal clearance is a decisive parameter for life prediction and reliability analysis of rolling bearings. In this paper, a comprehensive reliability analysis model of rolling bearings is proposed by con...
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Article
A framework for structural reliability analysis based on conjugate sensitivity factor and saddlepoint approximation
A new structural reliability analysis framework is developed to extend the performance of first-order reliability method, which is low robustness and poor accuracy when dealing with highly nonlinear functions....
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Article
Improved trajectory similarity-based approach for turbofan engine prognostics
Trajectory similarity-based prediction (TSBP) is an emerging real-time remaining useful life (RUL) prediction method that has drawn considerable attention in the field of data-driven prognostics. TSBP is fast,...
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Article
Characterizing wafer stage transmission errors via binary decision diagram and dynamic fault tree
The wafer stage, as a key subsystem of the dual-stage lithographic tool, possesses the characteristic of high moving accuracy. The fault tree analysis (FTA), which plays an important role in the design stage o...
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Article
Bayesian degradation assessment of CNC machine tools considering unit non-homogeneity
Field reliability assessment and prediction is critical for the estimation, operation and health management of CNC machine tools. The classical methods for field reliability of CNC Machine Tools assessment and...
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Article
Fatigue life prediction of turbine blades based on a modified equivalent strain model
Mean stress is known to exert significant effects on fatigue life prediction. Although numerous adjustments have been developed to explain the influence of mean stress, only a few of such adjustments account f...
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Article
Determining the Walker exponent and develo** a modified Smith-Watson-Topper parameter model
Mean stress effects significantly influence the fatigue life of components. In general, tensile mean stresses are known to reduce the fatigue life of components, whereas compressive mean stresses are known to ...
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Article
Lifetime prediction for turbine discs based on a modified Walker strain model
We created three-dimensional models of turbine disc and blades of a type of aero-engine according to their geometries. Extant studies show that low cycle fatigue is the main failure mechanism of turbine disc. ...
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Article
An improved Corten-Dolan’s model based on damage and stress state effects
The value of exponent d in Corten-Dolan’s model is generally considered to be a constant. Nonetheless, the results predicted on the basis of this statement deviate significantly from the real values. In considera...
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Article
Support vector machine based estimation of remaining useful life: current research status and future trends
Estimation of remaining useful life (RUL) is helpful to manage life cycles of machines and to reduce maintenance cost. Support vector machine (SVM) is a promising algorithm for estimation of RUL because it can...
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Article
Fault diagnosis of rotating machinery based on kernel density estimation and Kullback-Leibler divergence
Based on kernel density estimation (KDE) and Kullback-Leibler divergence (KLID), a new data-driven fault diagnosis method is proposed from a statistical perspective. The ensemble empirical mode decomposition (...
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Article
Mean-value first-order saddlepoint approximation based collaborative optimization for multidisciplinary problems under aleatory uncertainty
Reliability-based multidisciplinary design optimization (RBMDO) has received increasing attention in engineering design for achieving high reliability and safety in complex and coupling systems (e.g., multidis...
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Article
A Bayesian optimal design for degradation tests based on the inverse Gaussian process
The inverse Gaussian process is recently introduced as an attractive and flexible stochastic process for degradation modeling. This process has been demonstrated as a valuable complement for models that are de...
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Article
An efficient approach to reliability-based design optimization within the enhanced sequential optimization and reliability assessment framework
Reliability based design optimization (RBDO) has been widely implemented in engineering practices for high safety and reliability. It is an important challenge to improve computational efficiency. Sequential o...
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Article
New evaluation methods for conceptual design selection using computational intelligence techniques
The conceptual design selection, which aims at choosing the best or most desirable design scheme among several candidates for the subsequent detailed design stage, oftentimes requires a set of tools to conduct...