Innovation for Failure Detection and Correction in Safety-Related Systems Which Based on a New Estimator

Abstract

This scientific work presents a new method allowing to make a realistic prediction about reliability of safety related systems. The main feature of this method enables the prediction of an estimate of the remaining critical number of faults in systems. Stochastic play a very important role in safety technology. With the help of it, safety systems may be released reliably after an assessment. With the help of the probability theory meaningful statements are achieved and based on them, realistic forecasts may be given. However, in order that reliable forecasts can be conducted, new approaches in thinking need to be developed. The algorithm can provide an even more reliable prognosis than the conventional methods. Furthermore, the new method describes two processes for critical failures (detection and correction process). This contribution serves to give a short synopsis about the actual problem of the probabilistic safety technology on the base of stochastic. In that, the test methods, however, plays the most important role as the test results are source vectors for probabilistic models. However, this article tries to describe a suitable, innovative method that will correctly estimate the safety parameters.