Emerging safety analysis techniques use composition of failure models or fault simulation in formal models of a system to determine relationships between the causes and effects of failure. Most recent work has focused on developing system modelling and algorithms for automatic safety analysis. However, little work has focused on developing principles to improve reuse of safety analyses in the c...

Fully autonomous vehicles promise enormous gains in safety, efficiency, and economy for transportation. However, before such gains can be realized, a plethora of safety and reliability concerns must be addressed. In previous work, we have introduced a system for managing autonomous vehicles at intersections that is capable of handling more vehicles and causing fewer delays than modern-day mecha...

This paper proposes a method of analysis for evaluating failure detectors. The method can be applied to compare the performance of failure detectors in a given environment. Through a cost analysis approach, this method creates a cost metric, averagelost, which might tackle with comparing two failure detectors. Through the consequent experiment, we conclude that the value of a failure detector d...

This paper describes how the effects of possible component failures on an electrical system can be predicted through simulation of the correct behavior of the system, and repeated simulation of versions of the system containing faulty components. The results of such simulation are useful both for failure mode and effects analysis (FMEA), and for diagnosis. Such results have been used commercial...

This paper describes an incremental scenario-based simulation approach to evaluation of intelligent software for control and management of hardware systems. A hybrid continuous/discrete event simulation of the hardware dynamically interacts with the intelligent software in operations scenarios. Embedded anomalous conditions and failures in simulated hardware can lead to emergent software behavi...

Predicting the reliability of a system in its actual life-cycle conditions and estimating its time to failure is helpful in decision making to mitigate system risks. There are three approaches to prognostics: the physics-of-failure approach, the data-driven approach, and the fusion approach. A key requirement in all these approaches is identification of the appropriate parameter(s) to monitor t...

Technical systems are prevalent in many areas of our society. Nowadays they often include a considerable amount of software. Identification and avoidance of technical risks is of major importance in the development of these softwareintensive technical systems. A powerful analysis technique in the development process for technical systems is the Failure Mode and Effects Analysis (FMEA). This tec...

The knowledge about failures needed to solve distributed agreement problems can be expressed in terms of completeness and accuracy properties of failure detectors introduced by Chandra and Toueg. The accuracy properties they have considered restrict the false suspicions that can be made by all the processes in the system. In this paper, we deene \??accurate" failure detectors, whose accuracy pr...

The paper presents a multi-factor decision-making approach for prioritizing failure modes as an alternative to traditional approach of failure mode and effect analysis (FMEA). The approach is based on the ‘technique for order preference by similarity to ideal solution’ (TOPSIS). The priority ranking is formulated on the basis of six parameters (failure occurrence, non-detection, maintainability...

Traditionally, failure detectors have considered a binary model whereby a given process can be either trusted or suspected. This paper defines a family of failure detectors, called accrual failure detectors, that revisits this interaction model. Accrual failure detectors associate to each process a real value representing a suspicion level. An important advantage of accrual failure detectors ov...