Decision theory on key-performance-indicator-based process monitoring and fault diagnosis approaches

In this paper, decision theory is introduced to key performance indicator (KPI) related process monitoring and fault diagnosis (PM-FD) field in order to settle the difficulties of making the most rational decision among several candidates. Considering that there are several evaluation criteria for PM-FD approaches, this paper provides some methods to help decision makers to find the most effective PM-FD approach among lots of alternatives when a few criteria are taken into consideration. Also, these methods are applied in the simulation study, including a numerical example and Tennessee Eastman process (TEP) benchmark.