Fault diagnosis of electrical equipment based on virtual simulation technology
Abstract: In order to efficiently and accurately diagnose train electrical faults, we propose a fault diagnosis method for electrical equipment based on virtual simulation technology. First, Creo software was used to build a subway train model. Then, 3DMAX software was used to make animation and demonstrate the working principle and action process of the train electrical system. Finally, using Unity 3D software, a human–computer interaction mechanism was established, achieving presence and realism. This system realizes the functions of knowledge learning, student assessment, principal display, and troubleshooting of the electrical system of subway trains and is compared with the method of manual diagnosis. Experimental results show that in the designed fault diagnosis system, the detection time for various types of faults is shorter than 30 s, whereas the diagnosis time of the manual diagnosis method is 30–52 s. It shows that the electrical equipment fault diagnosis system based on virtual simulation has the advantages such as short fault diagnosis time and high efficiency. In addition, the highest diagnostic accuracy of the manual diagnosis method is 75.48%, which is far lower than the accuracy of the diagnostic system. Conclusion: It is proved that the designed fault diagnosis system has the advantages such as short detection time and high accuracy and can meet the safety requirements of industrial production.
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Fault diagnosis of electrical equipment based on virtual simulation technology ; volume:12 ; number:1 ; year:2023 ; extent:9
Nonlinear engineering ; 12, Heft 1 (2023) (gesamt 9)
- Urheber
-
Chang, Jing
Li, Huiqin
Xiao, Na
Singh, Pavitar Parkash
Vats, Prashant
Reddy, Chinthalacheruvu Venkata Krishna
- DOI
-
10.1515/nleng-2022-0334
- URN
-
urn:nbn:de:101:1-2023111113184834694182
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:55 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Chang, Jing
- Li, Huiqin
- Xiao, Na
- Singh, Pavitar Parkash
- Vats, Prashant
- Reddy, Chinthalacheruvu Venkata Krishna
Ähnliche Objekte (12)
Thermal fault diagnosis of complex electrical equipment based on infrared image recognition
Fault Diagnosis of Pneumatic Actuator Based on Virtual Prototype Fault Simulation
Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey
Mechanical equipment fault diagnosis based on wireless sensor network data fusion technology
An approach to performance assessment and fault diagnosis for rotating machinery equipment
Research on knowledge graph-driven equipment fault diagnosis method for intelligent manufacturing
A multi-fault diagnosis method of gear-box running on edge equipment
Real-time fault diagnosis system for electrical panel using embedded systems
Thermal hazards from electric fault arc : guide to the selection personal protective equipment for electrical work
Fault diagnosis systems : an introduction from fault detection to fault tolerance
Advanced methods for fault diagnosis and fault-tolerant control
Diagnosis and fault tolerant control
Thermal fault diagnosis of complex electrical equipment based on infrared image recognition
Fault Diagnosis of Pneumatic Actuator Based on Virtual Prototype Fault Simulation
Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey
Mechanical equipment fault diagnosis based on wireless sensor network data fusion technology
An approach to performance assessment and fault diagnosis for rotating machinery equipment
Research on knowledge graph-driven equipment fault diagnosis method for intelligent manufacturing
A multi-fault diagnosis method of gear-box running on edge equipment
Real-time fault diagnosis system for electrical panel using embedded systems
Thermal hazards from electric fault arc : guide to the selection personal protective equipment for electrical work
Fault diagnosis systems : an introduction from fault detection to fault tolerance
Advanced methods for fault diagnosis and fault-tolerant control
Diagnosis and fault tolerant control
Thermal fault diagnosis of complex electrical equipment based on infrared image recognition
Fault Diagnosis of Pneumatic Actuator Based on Virtual Prototype Fault Simulation
Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey
Mechanical equipment fault diagnosis based on wireless sensor network data fusion technology
An approach to performance assessment and fault diagnosis for rotating machinery equipment
Research on knowledge graph-driven equipment fault diagnosis method for intelligent manufacturing
A multi-fault diagnosis method of gear-box running on edge equipment
Real-time fault diagnosis system for electrical panel using embedded systems
Thermal hazards from electric fault arc : guide to the selection personal protective equipment for electrical work
Fault diagnosis systems : an introduction from fault detection to fault tolerance
Advanced methods for fault diagnosis and fault-tolerant control