Research on Fault Diagnosis Based on Dynamic causality diagram and Fuzzy Reasoning Fusion Method
With the progress of urbanization, the demand for elevators has upgraded from safe operation to comfortable, efficient, and all-round demand. The abnormal operation of the elevator is difficult to diagnose due to the complexity of the fault. This paper proposes a fault diagnosis method based on dyna...
Main Authors: | Yinkai Wang, Hongguo Chen, Zhiming Zhan |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2020-01-01
|
Series: | Tehnički Vjesnik |
Subjects: | |
Online Access: | https://hrcak.srce.hr/file/343906 |
Similar Items
-
Hierarchical Reasoning about Faults in Cyber-Physical Energy Systems using Temporal Causal Diagrams
by: Ajay D Chhokra, et al.
Published: (2018-01-01) -
Improved Temporal Fuzzy Reasoning Spiking Neural P Systems for Power System Fault Diagnosis
by: Ning Shao, et al.
Published: (2024-02-01) -
Fuzzy Reasoning Numerical Spiking Neural P Systems for Induction Motor Fault Diagnosis
by: Xiu Yin, et al.
Published: (2022-09-01) -
Causal Reasoning with Forces
by: Phillip eWolff, et al.
Published: (2015-01-01) -
A new approach to power system fault diagnosis based on fuzzy temporal order Petri nets
by: Zizhao Lin, et al.
Published: (2022-07-01)