TY - GEN
T1 - Reliability Analysis and Assessment for Matrix Torque Component Machine Based on Markov Process
AU - Jia, Shaofeng
AU - Lin, Jun
AU - Yang, Dongxu
AU - Sun, Pengcheng
AU - Li, Zheng
AU - Liang, Deliang
N1 - Publisher Copyright:
© 2025 Korean Institute of Electrical Engineers Electrical Machinery and Energy Conversion Systems Society.
PY - 2025
Y1 - 2025
N2 - In this paper, the reliability of high torque density matrix-torque-component-machine (MTCM) is quantitatively evaluated using the Markov model. Based on the structural of MTCM, its reliability diagram exhibits parallel branch characteristics. Furthermore, an MTCM fault simulation model is established to analyze the electromagnetic performance and under faults, and the operating state is judged based on the given standards. Building upon this, a Markov state transition chain is established to reflect the evolution of the system operating state. Subsequently, the time-dependent reliability curve and the mean time to failure (MTTF) of the MTCM are derived. Comparative analysis with a conventional permanent magnet synchronous machine (PMSM) reveals that the MTCM offers significantly higher reliability, thereby highlighting its advantages in applications requiring enhanced fault resilience and operational continuity.
AB - In this paper, the reliability of high torque density matrix-torque-component-machine (MTCM) is quantitatively evaluated using the Markov model. Based on the structural of MTCM, its reliability diagram exhibits parallel branch characteristics. Furthermore, an MTCM fault simulation model is established to analyze the electromagnetic performance and under faults, and the operating state is judged based on the given standards. Building upon this, a Markov state transition chain is established to reflect the evolution of the system operating state. Subsequently, the time-dependent reliability curve and the mean time to failure (MTTF) of the MTCM are derived. Comparative analysis with a conventional permanent magnet synchronous machine (PMSM) reveals that the MTCM offers significantly higher reliability, thereby highlighting its advantages in applications requiring enhanced fault resilience and operational continuity.
KW - Markov model component
KW - matrix-torque-component-machine
KW - reliability analysis
KW - time-dependent reliability curve formatting
UR - https://www.scopus.com/pages/publications/105032818538
U2 - 10.23919/ICEMS66262.2025.11317260
DO - 10.23919/ICEMS66262.2025.11317260
M3 - 会议稿件
AN - SCOPUS:105032818538
T3 - ICEMS 2025 - 28th International Conference on Electrical Machines and Systems
SP - 1279
EP - 1284
BT - ICEMS 2025 - 28th International Conference on Electrical Machines and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th International Conference on Electrical Machines and Systems, ICEMS 2025
Y2 - 16 November 2025 through 19 November 2025
ER -