Simultaneous-fault diagnosis considering time series with a deep learning transformer architecture for air handling units
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...
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Main Authors: | Wu, Bingjie, Cai, Wenjian, Cheng, Fanyong, Chen, Haoran |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/161886 |
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Institution: | Nanyang Technological University |
Language: | English |
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