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youdaoThisstructurecaneffectivelyreducetherandomfailurerate;Inthecaseoffailureoccurence,itcanfullyprotecttheprocessoffailureoccurenceandrepairthe controllerwithoutstoppage. 该结构能够有效地减少控制系统发生偶然故障的概率,并能够在故障发生的情况下,对生产过程提供充分保护和不停机维修控制器。 youdaoAfteracommunicationfailure,ran...

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TransactionRecoveryTestsRunner.TransactionWillRecoverAfterRandomSiloFailure 方法 (Orleans.Transactions.TestKit) Microsoft Learn

Random Silo Failure 方法 定义 命名空间: Orleans.Transactions.TestKit程序集: Orleans.Transactions.TestKit.Base.dll 包: Microsoft.Orleans.Transactions.TestKit.Base v10.0... protected virtual System.Threading.Tasks.Task TransactionWillRecoverAfterRandomSiloFailure(string transactionTestGrainClassName, int concurrent, bool gracefulShutdow...
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Distributed state-of-charge estimation for lithium-ion batteries with random sensor failure under dynamic event-triggering protocol,Information Fusion - X-MOL

xmol-logo搜索当前位置:X-MOL 学术›Inform. Fusion› 论文详情Our official English website,www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)Distributed state-of-charge estimation for lithium-ion batteries with random sensor failure under dynamic event-triggering protocolCong Huang , Weiping Ding...

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Random failure mechanism method assessment of working platform bearing capacity with linear trend undrained shear strength 360文库

18页发布时间：2024年3月28日

A bearing capacity evaluation for the surface strip foundation on a working platform modelled on a twolayered substrate is considered in the study.The upper layer is assumed as man-made and wellcontrolled and thus non-variable.The lower layer modelling natural cohesive soil is subjected to spatial variability of undrained shear strength.The random failure mechanism method(RFMM)is used to evaluate the bearing capacity.This approach employs a kinematic assessment of the critical load and incorporates the averaging of ...
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Real Random Failure

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Remaining useful life estimation based Wiener degradation processes with random failure threshold 360文库

12页发布时间：2024年1月6日

Remaining useful life（RUL） estimation based on condition monitoring data is central to condition based maintenance（CBM）. In the current methods about the Wiener process based RUL estimation, the randomness of the failure threshold has not been studied thoroughly. In this work, by using the truncated normal distribution to model random failure threshold（RFT）, an analytical and closed-form RUL distribution based on the current observed data was derived considering the posterior distribution of the drift para...
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[2112.01061] Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid Networks

View PDFAbstract:We use machine learning tools to model the line interaction of failure cascading in power grid networks. We first collect data sets of simulated trajectories of possible consecutive line failure following an initial random failure and considering actual constraints in a model power network until the system settles at a steady state. We ...

arxiv.org

Remaining useful life prediction of aero-engines based random-coefficient regression model considering failure threshold 360文库

13页发布时间：2024年2月20日

Remaining useful life(RUL)prediction is one of the most crucial components in prognostics and health management(PHM)of aero-engines.This paper proposes an RUL prediction method of aero-engines considering the randomness of failure threshold.Firstly,a random-coefficient regression(RCR)model is used to model the degradation process of aeroengines.Then,the RUL distribution based on fixed failure threshold is derived.The prior parameters of the degradation model are calculated by a two-step maximum likelihood estima...
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