A fault diagnosis and prognosis system for a brake system of a vehicle by attention-based neural networks

Lee, C.K.M; Lo Wing Chong; Wong, Chak-Nam; Huang, Jingyuan

A fault diagnosis and prognosis system for a brake system of a vehicle by attention-based neural networks

Lee, C.K.M (Inventor)
, Lo Wing Chong (Inventor)
, Wong, Chak-Nam (Inventor)
, Huang, Jingyuan (Inventor)

Research output: Patents, agreements, assignments and companies › Patents granted

Abstract

The present invention discloses a fault diagnosis and prognosis system for a brake system of a vehicle by attention-based neural networks, comprising: a data augmentation module based on a deep learning model with at least one attention mechanism layer; wherein the attention mechanism layer comprises multi-head attention (102); and a fault diagnosis module and a fault prognosis module based on at least one deep learning model with at least one attention mechanism layer

Original language	English
Patent number	HK30104727
Filing date	17/05/24
Publication status	Published - 2025
Externally published	Yes

Cite this

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title = "A fault diagnosis and prognosis system for a brake system of a vehicle by attention-based neural networks",

abstract = "The present invention discloses a fault diagnosis and prognosis system for a brake system of a vehicle by attention-based neural networks, comprising: a data augmentation module based on a deep learning model with at least one attention mechanism layer; wherein the attention mechanism layer comprises multi-head attention (102); and a fault diagnosis module and a fault prognosis module based on at least one deep learning model with at least one attention mechanism layer",

author = "\{Lee, C.K.M\} and \{Lo Wing Chong\} and \{Wong, Chak-Nam\} and \{Huang, Jingyuan\}",

year = "2025",

language = "English",

type = "Patent",

note = "HK30104727",

}

TY - PAT

T1 - A fault diagnosis and prognosis system for a brake system of a vehicle by attention-based neural networks

AU - Lee, C.K.M,

AU - Lo Wing Chong,

AU - Wong, Chak-Nam,

AU - Huang, Jingyuan,

PY - 2025

Y1 - 2025

N2 - The present invention discloses a fault diagnosis and prognosis system for a brake system of a vehicle by attention-based neural networks, comprising: a data augmentation module based on a deep learning model with at least one attention mechanism layer; wherein the attention mechanism layer comprises multi-head attention (102); and a fault diagnosis module and a fault prognosis module based on at least one deep learning model with at least one attention mechanism layer

AB - The present invention discloses a fault diagnosis and prognosis system for a brake system of a vehicle by attention-based neural networks, comprising: a data augmentation module based on a deep learning model with at least one attention mechanism layer; wherein the attention mechanism layer comprises multi-head attention (102); and a fault diagnosis module and a fault prognosis module based on at least one deep learning model with at least one attention mechanism layer

M3 - Patents granted

M1 - HK30104727

Y2 - 2024/05/17

ER -

A fault diagnosis and prognosis system for a brake system of a vehicle by attention-based neural networks

Abstract

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