...Kalman Ziha The probabilistic safety analysis evaluates system reliability and failure probability by using statistics and probability theory. However, it cannot estimate the system safety uncertainties due to variabilities of probabilities in different system states. The article first summarizes...

... and reliability improvement. In the last two decades, machine learning has flourished and overcome many inherent flaws of conventional maintenance prediction methods. Meanwhile, machine learning displays unprecedented predictive power in maintenance prediction and optimization. This paper compares the features...

... different cyclic axial loads to build a probabilistic fatigue damage model. The model is validated by the results obtained from the traditional P-S-N curve approach. One advantage of this probabilistic fatigue damage model is that it can calculate the reliability of a component under any type of cyclic...

... for their operation. The availability of the boiler can be improved by identifying critical mechanical subsystems/components concerning failure frequency, reliability, and maintainability and minimizing their likelihood of occurrences. The selection of appropriate technique for data collection and reliability...

..., the reliability assessment of these systems is performed. e-mail:  m_pourmostafaei@outlook.com Finally, the reliability of the systems under wear failure mechanisms with specified critical wear volume can be assessed by this model accurately because the uncertainty of predicted values is much lower than...

...Yixuan Liu; Ying Zhao; Zhen Hu; Zissimos P. Mourelatos; Dimitrios Papadimitriou This paper presents a reliability analysis method for automated vehicles equipped with adaptive cruise control (ACC) and autonomous emergency braking (AEB) systems to avoid collision with an obstacle in front...

...Themistoklis Koutsellis; Zissimos P. Mourelatos; Zhen Hu The reliability of repairable systems is important for many engineering applications such as warranty forecasting, maintenance strategies, and durability, among others. A generalized renewal process (GRP) approach, considering...

...Linjie Shen; Yugang Zhang; Xinchen Zhuang; Bozhi Guo The gear door lock system (GDLS) is a hydraulic and mechatronic system with high degree of complexity and uncertainty, making the performance assessment of the system especially intractable. We develop copula models to estimate the reliability...

.... 16 06 2017 24 02 2018 Mechanical Random Reliability Robustness Structural reliability Uncertainty This work examines the variability of predicted responses when multiple stress–strain (s-s) curves reflecting variability from replicate material tests are propagated through...

...Xinchen Zhuang; Tianxiang Yu; Linjie Shen; Bozhi Guo As a common type system, multistate weighted k-out-of-n system is of great importance in reliability engineering. The components are usually treated as independent from each other. It is usually not that case in real life and the components...

... 2017 Failure Petroleum Reliability Serviciability reliability A kick is an initiating event of blowout consequences. Formation pressure exceeding wellbore pressure is one of the most dominant reasons for an influx or kick into the wellbore. Use of heavy drilling fluid under high...

...Zhen Hu; Zhifu Zhu; Xiaoping Du Time-dependent system reliability is computed as the probability that the responses of a system do not exceed prescribed failure thresholds over a time duration of interest. In this work, an efficient time-dependent reliability analysis method is proposed for systems...

... in the presence of incomplete and noisy data. Moreover, using probabilistic design methods results in assessment of reliability of fatigue life predicted by computational models. where π like ( D | θ ) denotes the likelihood PDF and the term (9) π data ( D ) = ∫ π like...

...Mohammad Pourgol-Mohammad; Leon Cizelj 03 10 2017 23 10 2017 Reliability Risk Safety The importance of safety, security, and risk management has been recognized in nuclear multiscale systems modeling, simulation, and analysis applications. Since 2011, earthquake...

... and Manning, is employed for the reliability analysis. This model converts the existing deterministic fatigue models to stochastic one by adding a random coefficient. Applicability of this stochastic model completely depends on accuracy of base deterministic function. In this study, existing deterministic...

...Xiao-jian Yi; B. S. Dhillon; Jian Shi; Hai-na Mu; Peng Hou This paper proposes a new reliability optimization allocation for multifunction systems with multistate units based on goal-oriented (GO) methodology. First, this optimization allocation method is expounded in terms of establishing GO model...

... that deterministic methods do not provide reliable results for the sporadic behavior of the materials with random characteristics. Probabilistic methods lead to more comprehensive results in studying the stochatic behavior of the material and the variability of the affecting environment. Significant number...

..., 2016; final manuscript received December 10, 2016; published online June 12, 2017. Assoc. Editor: Mario Di Paola. 17 06 2016 10 12 2016 Probability Random Reliability Reliability based design Safety Structural reliability There is an increasing amount of research...

... when determining the necessary inspection coverage, and it can influence the reliability of the ship structure. In this paper, we develop a probabilistic spatiotemporal corrosion model based on a hierarchical approach, which represents the spatial variability and correlation of the corrosion process...

...Kim Forssén; Kari Mäki; Minna Räikkönen; Riitta Molarius Extreme weather forms a major threat to electricity distribution networks and has caused many severe power outages in the past. A reliable electrical grid is something most of us take for granted, but storms, heavy snowfall, and other effects...