scholarly journals Maintenance modelling for computer-based systems

Author(s):  
L Meshkat ◽  
J B Dugan ◽  
J Andrews

A framework is presented for incorporating maintenance into a dependability analysis methodology for computer-based systems. Two types of maintenance are considered: failure-driven maintenance and time-driven maintenance. Failure-driven maintenance or repair is carried out when the system (or component) performance deviates from its expected performance and consists of all tasks performed to restore the functional capabilities of failed items, principally diagnosis and repair. Time-driven or scheduled maintenance is conducted on a specific time schedule in order to prevent system failure. There may be dependencies between different components of a system with regard to their maintenance plans. These dependencies arise either because a component has maintenance priority over one or more components or because the maintenance of a certain component implies the maintenance of other components. Constructs are presented for modelling these dependencies in the context of dynamic fault tree analysis and a methodology is developed for solving the fault tree. The dynamic fault tree constructs effectively capture the failure dependencies between components. The approach is illustrated with an example based on a water deluge system.

Information ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 283 ◽  
Author(s):  
Chiacchio ◽  
Aizpurua ◽  
Compagno ◽  
Khodayee ◽  
D’Urso

Dependability assessment is one of the most important activities for the analysis of complex systems. Classical analysis techniques of safety, risk, and dependability, like Fault Tree Analysis or Reliability Block Diagrams, are easy to implement, but they estimate inaccurate dependability results due to their simplified hypotheses that assume the components’ malfunctions to be independent from each other and from the system working conditions. Recent contributions within the umbrella of Dynamic Probabilistic Risk Assessment have shown the potential to improve the accuracy of classical dependability analysis methods. Among them, Stochastic Hybrid Fault Tree Automaton (SHyFTA) is a promising methodology because it can combine a Dynamic Fault Tree model with the physics-based deterministic model of a system process, and it can generate dependability metrics along with performance indicators of the physical variables. This paper presents the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO), a Matlab® software library for the modelling and the resolution of a SHyFTA model. One of the novel features discussed in this contribution is the ease of coupling with a Matlab® Simulink model that facilitates the design of complex system dynamics. To demonstrate the utilization of this software library and the augmented capability of generating further dependability indicators, three different case studies are discussed and solved with a thorough description for the implementation of the corresponding SHyFTA models.


Author(s):  
Koorosh Aslansefat ◽  
Sohag Kabir ◽  
Youcef Gheraibia ◽  
Yiannis Papadopoulos

Author(s):  
Ahmad Khayyati ◽  
Mohammad Pourgol-Mohammad

Abstract Unmanned Aerial Vehicles (UAV) are increasingly get popularity in many applications. Their operation requires high level of safety and reliability to accomplish successful missions. In this study, the reliability was comparatively analyzed by different available approaches to select the efficient method. First, failure model of the system is developed. Then, three different scenarios are considered to study the effect of redundancies on the system reliability results. In the first scenario, there is no redundancy where in the second scenario there is only one redundant component and in the third scenario, there are three redundant components. Static reliability analysis such as Fault Tree Analysis (FTA), Reliability Block Diagram (RBD), Markov Chain (MC), and Bayesian Networks (BN) are applied on proposed scenarios and results are obtained. Regarding to time dependencies between redundant components, a dynamic-based methodology is also developed in this study through applying Dynamic Fault Tree (DFT) analysis. Proposed static and dynamic approaches are applied on an UAV as a case study and results are discussed. Finally, characteristics of each methodology and related conditions are clarified for selecting the efficient reliability analysis approach.


Author(s):  
Nidhal Mahmud

The use of robotics systems is increasingly widespread and spans a variety of application areas. From healthcare, to manufacturing, to space missions, these systems are typically conceived to perform dangerous or critical tasks. The nature of such tasks (e.g., surgery operations or radioactive waste clean-up) places high demands on the dependability of robotics systems. Fault tree analysis is among the most often used dependability assessment techniques in various domains of robotics. However, fault tree analysis of cost-effective fault tolerant robotics systems requires compositional synthesis of fault trees extended with the expressive power to allow analyzing the sequential dependencies among the components. Thereafter, a relevant experience from the automotive domain is presented. This consists mainly of a suitable synthesis approach that computes expressions of global failure conditions from the dysfunctional behavior local to the components. The benefits of the approach to dependability analysis of robotics architectures are highlighted by using a fault-tolerant example system.


Author(s):  
Nidhal Mahmud

The use of robotics systems is increasingly widespread and spans a variety of application areas. From healthcare to manufacturing to space missions, these systems are typically conceived to perform dangerous or critical tasks. The nature of such tasks (e.g., surgery operations or radioactive waste clean-up) places high demands on the dependability of robotics systems. Fault tree analysis is among the most often used dependability assessment techniques in various domains of robotics. However, fault tree analysis of cost-effective fault tolerant robotics systems requires compositional synthesis of fault trees extended with the expressive power to allow analyzing the sequential dependencies among the components. Thereafter, a relevant experience from the automotive domain is presented. This consists mainly of a suitable synthesis approach that computes expressions of global failure conditions from the dysfunctional behavior local to the components. The benefits of the approach to dependability analysis of robotics architectures are highlighted by using a fault-tolerant example system.


2011 ◽  
Vol 110-116 ◽  
pp. 2416-2420 ◽  
Author(s):  
Li Ping Yang

In case of fault tree analysis of large complex system, the probability of bottom event in dynamic fault tree is uncertain in some cases. To address the problem, the paper presented a dynamic fault tree analysis method based on fuzzy set computation. The method separates logic attributes and timing attributes of dynamic logic gates. It can convert dynamic fault tree into static fault tree not considering timing constraints and obtain minimum cut set of static fuzzy fault tree with set operations, then the concept of minimum cut set is extended to dynamical minimum cut sequence. Thus, the dynamic fault tree was analyzed in both qualitative and quantitative aspects, which solve the problem that it is difficult to assign value of event probability in previously process.


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