2021
DOI: 10.1177/09544070211063719
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Learning-based fault diagnosis of air brake system using wheel speed data

Abstract: Faults in the air brake system used in Heavy Commercial Road Vehicles (HCRVs) would adversely affect the vehicle’s dynamic performance, and hence their prompt detection is critical for vehicle safety. This paper first investigates the effect of air brake system faults through extensive hardware-in-loop experiments. These faults were observed to degrade the braking response, yaw stability, and vehicle braking distance. In many countries, an antilock brake system is mandatory in HCRVs, and wheel speed data are r… Show more

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Cited by 3 publications
(2 citation statements)
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“…At present, the brake system fault detection [1] is still mainly based on regular maintenance, which is not conducive to finding the cause of the fault, nor can it monitor whether the working status of the brake and hydraulic system is within the normal working range [2]. Therefore, the real-time fault diagnosis [3] of hydraulic braking system is a necessary requirement for the development of vehicle intelligence.…”
Section: Introductionmentioning
confidence: 99%
“…At present, the brake system fault detection [1] is still mainly based on regular maintenance, which is not conducive to finding the cause of the fault, nor can it monitor whether the working status of the brake and hydraulic system is within the normal working range [2]. Therefore, the real-time fault diagnosis [3] of hydraulic braking system is a necessary requirement for the development of vehicle intelligence.…”
Section: Introductionmentioning
confidence: 99%
“…However, with the addition of load, the tendency of the vehicle to turn into understeer. For the braking system on this rural car from a speed of 20 km / h to 40 km / h the braking distance is increased by 300 percent [6].…”
Section: Introductionmentioning
confidence: 99%