Advanced fuzzy rule-based failure mode and effect analysis

Design Software Failure Mode and Effect Analysis using Fuzzy TOPSIS Based on Fuzzy Entropy

One of the key pillars of any operating system is its proper software performance. Software failure can have dangerous effects and consequences and can lead to adverse and undesirable events in the design or use phases. The goal of this study is to identify and evaluate the most significant software risks based on the FMEA indices with respect to reduce the risk level by means of experts’ opini...

Failure Mode and Effect Analysis Power Plant Boiler

The current electricity demand is increasing, and now the government has involved third parties in the implementation of electricity so that investors compete in building infrastructure in order to apply electricity. Thermal power is one source that has a fast break event point compared to other resources that more interested investors even with all forms of pollution caused. A form of heat pow...

Rule-based joint fuzzy and probabilistic networks

One of the important challenges in Graphical models is the problem of dealing with the uncertainties in the problem. Among graphical networks, fuzzy cognitive map is only capable of modeling fuzzy uncertainty and the Bayesian network is only capable of modeling probabilistic uncertainty. In many real issues, we are faced with both fuzzy and probabilistic uncertainties. In these cases, the propo...

Failure Mode and Effects Analysis Using Data Envelopment Analysis

Optimisation of shock absorber process parameters using failure mode and effect analysis and genetic algorithm

The various process parameters affecting the quality characteristics of the shock absorber during the process were identified using the Ishikawa diagram and by failure mode and effect analysis. The identified process parameters are welding process parameters (squeeze, heat control, wheel speed, and air pressure), damper sealing process parameters (load, hydraulic pressure, air pressure, and ...