Fault diagnosis of circuit board based on fault tree

Hong-xia, Pan; Jin-ying, Huang; Guang-min, Liu

doi:10.1109/icarcv.2008.4795777

Cited by 6 publications

(6 citation statements)

References 7 publications

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“…In order to achieve device-level fault location, it is the need for further analysis of the intermediate events, and the middle fault tree events is got [2]. The establishment and analysis process of the fault tree is illustrated by the reset circuit, the fault tree diagram for the reset circuit shown in figure 5.…”

Section: A the Establishment Of Cpu Board Fault Treementioning

confidence: 99%

“…According to equation (1), (2) and reset circuit fault tree logic structure, calculated the probability of fault tree the top event and the intermediate events, it is as follows:…”

Section: B the Importance Analysis Of Fault Treementioning

confidence: 99%

“…Figure 1 to 3 are self-loading control system hardware fault detection block diagram, the fault diagnosis system hardware design framework based fault tree and the system fault diagnosis software block diagram, respectively [1,2].…”

Section: The Basic Structure Of Auto-loading Control Circuit Faulmentioning

confidence: 99%

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Automatic loading control circuit fault diagnosis system

Yao

2011

2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies

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Automatic loading control circuit is as an important component of automatic loading system, its work's reliability directly affects the system's operational effectiveness and its safety, its fault diagnosis is important to improve the reliability of the automatic loading system. Based on describing the fault diagnosis system's structure and function of the automatic loading control circuit, CPU's reset circuit of automatically loading control circuit is as example, the fault tree method is introduced, the fault dictionary is established, and the corresponding software diagnostic process is given. Finally, according to the end of event probability, CPU's failure probability and the importance of bottom events are identified. Experiments show that the method is correct and effective.

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Section: A the Establishment Of Cpu Board Fault Treementioning

confidence: 99%

“…According to equation (1), (2) and reset circuit fault tree logic structure, calculated the probability of fault tree the top event and the intermediate events, it is as follows:…”

Section: B the Importance Analysis Of Fault Treementioning

confidence: 99%

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Automatic loading control circuit fault diagnosis system

Yao

2011

2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies

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“…In 1996, Du Shuming designed a set of PCB fault diagnosis methods that combine software and hardware [1]. In 2008, Pan HX et al proposed a fault diagnosis method for integrated PCBs based on the fault tree method [2]. In 2020, Professor Li Guangsheng and others proposed a PCB fault diagnosis scheme based on VIF characteristic analysis.…”

Section: Introductionmentioning

confidence: 99%

A novel PCB fault diagnosis method based on tiny object detection

Kang¹,

Cong²,

Sun³

et al. 2023

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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With the rapid development of science and technology and the advent of the information age, the number of components used in electronic devices has increased sharply, making its internal circuit structure increasingly complex. Printed Circuit Boards (PCBs), as part of electronic devices, are becoming smaller and more integrated, resulting in a much greater increase in the probability of failure and the difficulty of detection. Therefore, to reduce the difficulty and cost of PCB fault diagnosis, it is very necessary to explore and study new PCB diagnosis methods. This paper first reconstructs the PCB dataset by ESRGAN, and then the CenterNet based on the center point is introduced and improved. The ResNeSt based on the segmentation attention mechanism is integrated with CenterNet to realize the PCBs fault diagnosis method based on the tiny object detection method. Experiments have proved that the method can achieve 99.42% mAP.

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“…Bayesian network is a good way to model causality, and Bayesian network can effectively form probabilistic models for e cient inference and learning 23 . Fault tree analysis is an important analysis method for system reliability and safety analysis 24 . In this paper, we combine fault tree and Bayesian network methods to build a model of pedestrianvehicle tra c accidents, which can more accurately identify the factors affecting pedestrian-vehicle tra c accidents.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the causes of pedestrian-vehicle traffic accidents based on Bayesian networks

Yang

Lai

Shi

et al. 2022

Preprint

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With the continuous improvement of people's living standards, the number of cars has also increased dramatically. While cars are convenient for people to travel, they also lead to increasingly serious traffic safety problems. For this reason, this paper uses the fault tree and Bayesian network methods to conduct an in-depth study on the causes of pedestrian-vehicle traffic accidents from three aspects: people, vehicle, road and the environment. In this paper, the occurrence of pedestrian-vehicle traffic accidents is divided into 29 basic events. The basic events of each of the 381 pedestrian-vehicle traffic accidents were Classified by 0–1. A fault tree model leading to pedestrian-vehicle traffic accidents is established, which is then transformed into a Bayesian network model, and Bayesian network inference, sensitivity analysis is performed with the help of Netica software. Our results suggest that illegal crossing of traffic lanes, speeding, rainy day, slippery road, braking is not timely, visual impairment are the main causes of pedestrian-vehicle traffic accidents. These results can not only provide a reference for transportation technology, but also provide a basis for government legislation.

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Fault diagnosis of circuit board based on fault tree

Cited by 6 publications

References 7 publications

Automatic loading control circuit fault diagnosis system

Automatic loading control circuit fault diagnosis system

A novel PCB fault diagnosis method based on tiny object detection

Analysis of the causes of pedestrian-vehicle traffic accidents based on Bayesian networks

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