Dynamic failure mode analysis approach based on an improved Taguchi process capability index

Evaluating real-time operation state, diagnosing faults, and improving the operation reliability are important for the entire life cycle of equipment. This study proposes a dynamic failure mode analysis (DFMA) approach based on an improved Taguchi process capability index (PCI) and has three possible contributions. First, an improved Taguchi PCI, namely, Cpm-Q, and a new fault risk index (FRI), namely, Rpm-Q, are proposed to measure the dynamic fault risk of structural components. Second, dynamic risk priority number (DRPN) is proposed by integrating the fault importance index (FII) and FRI. Third, a real-time state representation based on FRI and DRPN, which divide the operation risk of the equipment into six state intervals, is proposed. We applied the approach on particle accelerator cooling water equipment located at Shanghai proton and heavy ion center. Results show that the approach is effective for real-time operation state assessment and fault identification.