Cellular automata based multi-bit stuck-at fault diagnosis for resistive memory

Sarkar, Sutapa; Sikdar, Biplab K.; Saha, Mousumi

doi:10.1631/fitee.2100255

Cited by 6 publications

(1 citation statement)

References 17 publications

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“…The dynamic fault tree analysis model introduces a dynamic logic gate to represent the time correlation between events, by calculating dynamic probability importance, critical fault events and the fault propagation chain can be obtained [19,20]. By introducing the time dimension, dynamic Bayesian network can establish the importance model of complex system components according to the conditional probability of components at the initial time and the state transition probability between adjacent time slices [21].…”

Section: Introductionmentioning

confidence: 99%

Key fault propagation path identification of CNC machine tools based on maximum occurrence probability

Zhang¹,

Zhou²,

Yang³

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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In order to revise the deviation caused by ignoring the dynamic character of fault propagation in traditional fault propagation path identification methods, a method based on the maximum occurrence probability is proposed to identify the key fault propagation path. Occurrence probability of fault propagation path is defined by dynamic importance, dynamic fault propagation probability and fault rate. Taking the fault information of CNC machine tools which subject to Weibull distribution as an example, this method has been proven to be reasonable through comparative analysis. Result shows that the key fault propagation path of CNC machine tools is not unique, but changes with time. Before 1000 hours, key fault propagation path is electrical component (E) to mechanical component (M); after 1000 hours, key fault propagation path is auxiliary component (A) to mechanical component (M). This change should be taken into account when developing maintenance strategies and conducting reliability analysis.

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Section: Introductionmentioning

confidence: 99%