Simultaneous-fault diagnosis considering time series with a deep learning transformer architecture for air handling units

• Main Authors: Wu, Bingjie, Cai, Wenjian, Cheng, Fanyong, Chen, Haoran
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Fault Diagnosis; Transformer Architecture
• Online Access: https://hdl.handle.net/10356/161886
• Institution: Nanyang Technological University

An advanced deep learning-based method that employs transformer architecture is proposed to diagnose the simultaneous faults with time-series data. This method can be directly applied to transient data while maintaining the accuracy without a steady-state detector so that the fault can be diagnosed...