Reliability Analysis of Brake-by-wire Systems on Fault Tree

Zhang, Ce; Han, Yu; Lin, Yier; Wang, Dan

doi:10.1088/1742-6596/2029/1/012135

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…Mitigation actions can be implemented during the system's design phase or during the operation itself [50]. Table 4 depicts the RPN for the primary vehicle components considered in this study, with failure mode, effects, causes, mitigation, and respective rankings based on [51]- [67]. The RPN analysis reveals that the highest values occur for the vehicle actuators, subsequently by the vehicle sensors, and lastly by the embedded system.…”

Section: Failure Model Effective Analysis (Fmea)mentioning

confidence: 99%

Crash-Prone Fault Combination Identification for Over-Actuated Vehicles During Evasive Maneuvers

Da Silva Junior,

Birkner,

Jazar

et al. 2024

IEEE Access

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Throughout a vehicle's lifecycle, systems may fail during operation, requiring effective fault management by the vehicle controller. Various system faults affect vehicle handling differently. Additionally, vehicle velocity and road friction directly impact handling and stability. Thus, it is essential to investigate relevant factors, such as actuator faults, vehicle velocity, road friction, and their combinations, before developing a fault-tolerant controller to mitigate potential critical situations. Our work thus focuses on identifying faults and fault combinations that might lead to crashes for over-actuated vehicles during evasive maneuvers and those impacting comfort parameters. We employ a state-of-the-art vehicle controller optimized for evasive lane changes for over-actuated vehicles. The driving scenario encompasses critical conditions defined in ISO 26262 with ASIL-D, including velocities up to 130 km/h and requiring steering away from obstacles. Failure Mode and Effects Analysis, Design of Experiments, and statistical tools are used to determine fault combinations most likely to lead to crashes during evasive maneuvers. Our results indicate that the vehicle controller successfully handled the maneuver in over 53% of investigated cases, reaching up to 75.1% on dry surfaces. Road friction emerges as the most critical parameter for collision avoidance and comfort. Brake faults exhibit a higher influence on vehicle handling than other actuator faults, while single motor faults do not significantly impact vehicle parameters. Regarding two-factor interactions, brake actuators dominate, followed by steering and motor. These findings provide valuable insights for developing faulttolerant controllers for over-actuated vehicles, guiding decisions on addressing specific faults to enhance safety and comfort parameters.INDEX TERMS Autonomous vehicle, crash avoidance, evasive maneuvers, over-actuated vehicle, sliding mode control, vehicle coupled controllers.

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Section: Failure Model Effective Analysis (Fmea)mentioning

confidence: 99%

Crash-Prone Fault Combination Identification for Over-Actuated Vehicles During Evasive Maneuvers

Da Silva Junior,

Birkner,

Jazar

et al. 2024

IEEE Access

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“…Automotive Experiences 323 [23], and explores the root causes of truck accidents in US mining activities from 1995 to 2011. The results showed that inadequate preoperational checks and subpar truck maintenance were the primary culprits behind most accidents [24].…”

Section: Fta On Automotive Applicationmentioning

confidence: 99%

Enhancing Brake System Evaluation in Periodic Testing of Goods Transport Vehicles through FTA-FMEA Risk Analysis

Ansori,

Waskito,

Mutharuddin

et al. 2023

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Failure of the braking system is one of the factors causing traffic accidents, therefore periodic testing of goods transport vehicles is very important. In fact, the incidence rate is still very high despite routine testing. Standard Operating Procedures (SOP) for periodic testing must be updated to reduce the risk of possible accidents. Therefore, procedures for updating the SOP for periodic brake system testing are presented in this article. The Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) methods were applied based on accident investigation data from the National Transportation Safety Committee (NTSC) from 2017 to 2022. FTA is used for risk identification, while FMEA is used for risk analysis to find the highest-risk failure cases. The results of our analysis showed that 13 failure cases were classified as intolerable so additional SOPs were required for each case. Finally, the results of this study provide new insights for stakeholders to revise the rules regarding periodic vehicle testing.

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“…Chen et al [32] proposed a new control design for the braking system of a brake-by-wire car. The new design aims at helping cars to move on unpaved roads to stabilize their braking power to have smooth running [33]. A classification method is used to measure the intention of a driver to use the brakes or not [33].…”

Section: Introductionmentioning

confidence: 99%

“…The new design aims at helping cars to move on unpaved roads to stabilize their braking power to have smooth running [33]. A classification method is used to measure the intention of a driver to use the brakes or not [33]. The method uses fuzzy logic to solve the classification problem [32].…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of a new brake-by-wire system using machine learning

Hassanein

Dawod

Hassan

2023

IJECE

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One of the main aims of the recent research on brake-by-wire systems is to decrease mechanical components. In this paper, we propose replacing the brake pedal with a driving wheel that is fully covered by pressure braking batch sensors. The new mechanism for braking translates pressure exerted through the driver’s hands on the driving wheel to a corresponding electrical signal. A proposed design for the pressure braking batch (PBB) is made out of a mesh of conducting threads separated by a resistive sheet. To the best of our knowledge, this idea has not been raised before in other research papers. Different people have different muscle strengths and so the problem of identifying the intention of the user when pressing the PBB is tackled. For this aim, a new dataset of its kind is created by several volunteers. From each volunteer, age, gender, body mass index (BMI), and maximum pressure exerted on the driving wheel are collected. Using Weka software, the detection accuracy is calculated for a new volunteer to know the intention of his/her pressure on PBB. Among the three algorithms tried, the regression tree gives the best results in predicting the class of the pressure exerted by the volunteers.

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Reliability Analysis of Brake-by-wire Systems on Fault Tree

Cited by 4 publications

References 3 publications

Crash-Prone Fault Combination Identification for Over-Actuated Vehicles During Evasive Maneuvers

Crash-Prone Fault Combination Identification for Over-Actuated Vehicles During Evasive Maneuvers

Enhancing Brake System Evaluation in Periodic Testing of Goods Transport Vehicles through FTA-FMEA Risk Analysis

Design and analysis of a new brake-by-wire system using machine learning

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