Statistical monitoring of condition degradation in maintenance: A state-of-the-art review

The main objective of Condition-Based Maintenance (CBM) is to assess the level of degradation on an equipment for maintenance decision-making. CBM literature shows a wide variety of methodologies to fulfill this objective, with positive results on diagnostics and prognostics of failure. However, the degradation variable could suffer an unexpected change on degradation rate (due to external conditions or natural behavior on degradation process) that might negatively affect the performance of these methodologies. Identifying this change as soon as possible could bring relevant information to maintenance managers for better decision making. The identification of changes in condition degradation can be done through statistical monitoring in the form of Control Charts that emit alerts when the monitored variable shows special variations. This paper develops a review of the current state of the body knowledge performed with the State-of-the-Art Matrix methodology on Control Charts applied in CBM, with the objective of detecting applications, challenges and opportunity areas for statistical monitoring on CBM decision-making.