Modeling dynamic scenarios for safety, reliability, availability, and maintainability analysis

Safety analysis uses probability combinatorial models like fault tree and/or event tree. Such methods have static basic events and do not consider complex scenarios of dynamic reliability, leading to conservative results. Reliability, availability, maintainability (RAM) using reliability block diagram (RBD) experience the same limitations. Continuous Markov chains model but suffer from other limitations states explosion restriction exponential life distribution only. Regenerative Stochastic Petri Nets oblige mathematical formalism still subject state explosions for large systems. In design systems, distinct teams make safety RAM analyses, each one adopting tools better fitting their own needs. Teams different turns obscure detection problems correction is even harder. This work aims improve quality, reduce conservatism, ensure consistency by proposing a single powerful tool perform any probabilistic analysis. The suggested Colored class Nets, which supplies hierarchical organization, set options distributions, simple easy construction also proposes more quality rules assure consistency. method may effect shifting systems “redundancy, segregation independency” approach “maintainability, maintenance contingency procedures” approach. By modeling human automated interventional scenarios, this reduces capital costs keeps availability