OMCTA: A novel knowledge-based technique to evaluate the influence of O&M actions on maintenance management

Abstract

Human error is a major cause of unavailability of industrial equipment. Consequently, several approaches attempt to assess how this issue influences maintenance management. However, these techniques are generally limited, not distinguishing between O&M actions. In this way, this work presents a new method, named OMCTA, based on techniques already known and widespread both in academia and industry. By structuring the expert knowledge, the method separately quantifies the likelihood of O&M actions causing failures. A case study is analyzed, bringing results that clearly show the effects of the O&M actions for different Kaplan turbine failure modes.