Clinical alarms have a deceptively simple purpose, which is to notify caregivers when a patient or a device needs their attention. This simple concept has been proven to be challenging as the number of available alarms has grown and been poorly integrated. When an anticipated notification is not received or an actual notification is not acted upon in a timely manner, patient harm can occur. In ...

In this study, the application of Bayes networks and fault tree analysis in reliability estimation have been investigated. Fault tree analysis is one of the most widely used methods for estimating reliability. In recent years, a method called "Bayes Network" has been used, which is a dynamic method, and information about the probable failure of the system components will be updated according to...

In this paper a model for dynamic fault tree (FT) analysis is developed. The model is ussed for the analysis of a cold standby redundant system. It is shown that a typical modern fault tree analysis (FTA), resulting in the Boolean domain in a short pseudopolynomial, i.e., a polynomial in the literals of the FT input variables, can yield grave errors in case of cold standby, even though the sing...

Traditional methods to evaluate flood risk generally focus on heavy storm events as the principal cause of flooding. Conversely, fault tree analysis is a technique that aims at modelling all potential causes of flooding. It quantifies both overall flood probability and relative contributions of individual causes of flooding. This paper presents a fault model for urban flooding and an applicatio...

Software fault tree analysis (SFTA) [1] is widely used for analyzing software requiring high-reliability. In SFTA, experts predict failures of system through HAZOP (Hazard and Operability study) or FMEA (Failure Mode and Effects Analysis) and draw software fault trees about the failures. Quality and cost of the software fault tree, therefore, depend on knowledge and experience of the experts. T...