Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey
Abstract: Transformer is extensively employed in natural language processing, and computer vision (CV), with the self-attention structure. Due to its outstanding long-range dependency modeling and parallel computing capability, some leading researchers have recently attempted to apply Transformer to intelligent fault diagnosis tasks for mechanical equipment, and have achieved remarkable results. Physical phenomena such as changes in vibration, sound, and heat play a crucial role in the research of mechanical equipment fault diagnosis, which directly reflects the operational status and potential faults of mechanical equipment. Currently, intelligent fault diagnosis of mechanical equipment based on monitoring signals such as vibration, sound, and temperature using Transformer-based models remains a popular research topic. While some review literature has explored the related principles and application scenarios of Transformer, there is still a lack of research on its application in intelligent fault diagnosis tasks for mechanical equipment. Therefore, this work begins by examining the current research status of fault diagnosis methods for mechanical equipment. This study first provides a brief overview of the development history of Transformer, outlines its basic structure and principles, and analyzes the characteristics and advantages of its model structure. Next it focuses on three model variants of Transformer that have generated a significant impact in the field of CV. Following that, the research progress and current challenges of Transformer-based intelligent fault diagnosis methods for mechanical equipment are discussed. Finally, the future development direction of Transformer in the field of mechanical equipment fault diagnosis is proposed.
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey ; volume:22 ; number:1 ; year:2024 ; extent:30
Open physics ; 22, Heft 1 (2024) (gesamt 30)
- Urheber
-
Wang, Rongcai
Dong, Enzhi
Cheng, Zhonghua
Liu, Zichang
Jia, Xisheng
- DOI
-
10.1515/phys-2024-0015
- URN
-
urn:nbn:de:101:1-2405111535553.186345854686
- 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
- Wang, Rongcai
- Dong, Enzhi
- Cheng, Zhonghua
- Liu, Zichang
- Jia, Xisheng
Ähnliche Objekte (12)
Smart Transformer-based single phase-to-neutral fault management
Transformer-based convolutional forgetting knowledge tracking
A transformer-based Urdu image caption generation
Temporal fusion transformer-based prediction in aquaponics
Transformer-based tool recommendation system in Galaxy
Transformer-based NMT : modeling, training and implementation
BertSRC: transformer-based semantic relation classification
Transformer-based models for multimodal irony detection
Image2SMILES: Transformer‐Based Molecular Optical Recognition Engine **
Transformer-based tool recommendation system in Galaxy
Transformer-based subject entity detection in Wikipedia listings
Tunable Hybrid Transformer-based Duplexers for Cellular Applications
Smart Transformer-based single phase-to-neutral fault management
Transformer-based convolutional forgetting knowledge tracking
A transformer-based Urdu image caption generation
Temporal fusion transformer-based prediction in aquaponics
Transformer-based tool recommendation system in Galaxy
Transformer-based NMT : modeling, training and implementation
BertSRC: transformer-based semantic relation classification
Transformer-based models for multimodal irony detection
Image2SMILES: Transformer‐Based Molecular Optical Recognition Engine **
Transformer-based tool recommendation system in Galaxy
Transformer-based subject entity detection in Wikipedia listings
Tunable Hybrid Transformer-based Duplexers for Cellular Applications
Smart Transformer-based single phase-to-neutral fault management
Transformer-based convolutional forgetting knowledge tracking
A transformer-based Urdu image caption generation
Temporal fusion transformer-based prediction in aquaponics
Transformer-based tool recommendation system in Galaxy
Transformer-based NMT : modeling, training and implementation
BertSRC: transformer-based semantic relation classification
Transformer-based models for multimodal irony detection
Image2SMILES: Transformer‐Based Molecular Optical Recognition Engine **
Transformer-based tool recommendation system in Galaxy
Transformer-based subject entity detection in Wikipedia listings