An Approach for Predictive Maintenance Decisions for Components of an Industrial Multistage Machine That Fail before Their MTTF: A Case Study

Making the correct maintenance strategy decision for industrial multistage machines (MSTM) is a constant challenge manufacturers. Preventive strategies are most popular and provide interesting results but cannot prevent unexpected failures consequences, such as time lost production (TLP). In these cases, predictive should be used to maintain appropriate level of operation time. This research aims present model identify component that failed before its mean failure (MTTF) and, depending on whether cause known, propose use further decision-making ensure highest possible value from operating Also, it necessary check reliable MTTF taking certain decisions. For this research, real case study MSTM was characterized by component, setting individual times. The initial all components preventive programming (PPM). If presents an failure, method proposed decide changed, adding monitor said component. also provides trust evaluate each authors consider approach very useful machine manufacturers end users.