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Analysis of security vulnerabilities in vehicle On-Board Diagnostic systems. 汽车车载诊断系统安全漏洞分析。
Diagnostyka Pub Date : 2024-08-09 DOI: 10.29354/diag/192162
Piotr Pełechaty, Łukasz Konieczny
{"title":"Analysis of security vulnerabilities in vehicle On-Board Diagnostic systems.","authors":"Piotr Pełechaty, Łukasz Konieczny","doi":"10.29354/diag/192162","DOIUrl":"https://doi.org/10.29354/diag/192162","url":null,"abstract":"The article explains the different types of on-board diagnostic systems (OBD) used in motor vehicles, as well as the impact of the latest automotive security norms on diagnostic interface security. The paper focuses on identifying potential security threats in on-board diagnostic systems used in automotive control units. During the research, a diagnostic interface device of its own design, carrying out special test procedures, was excavated. The research was conducted on several vehicles and ECUs, applying black box penetration testing. The paper's goal is to list all identified vulnerabilities in diagnostic protocol implementation and suggest some corrective actions for software that would increase security. The authors defined a list of low-cost software requirements that can be easily implemented on most modern ECUs","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"50 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Actuator fault estimation in wind turbine using a modified sliding mode observer based on Linear Matrix Inequality approach 使用基于线性矩阵不等式方法的改进型滑模观测器估计风力涡轮机中的致动器故障
Diagnostyka Pub Date : 2024-04-23 DOI: 10.29354/diag/187887
Mohammed Taouil, Abdelghani El Ougli, B. Tidhaf
{"title":"Actuator fault estimation in wind turbine using a modified sliding mode observer based on Linear Matrix Inequality approach","authors":"Mohammed Taouil, Abdelghani El Ougli, B. Tidhaf","doi":"10.29354/diag/187887","DOIUrl":"https://doi.org/10.29354/diag/187887","url":null,"abstract":"This paper presents a fault detection and isolation (FDI) method applied to a wind turbine system. The approach utilizes a nonlinear sliding mode observer (SMO) to effectively reconstruct faults in both the hydraulic pitch actuator and generator torque actuator of the wind turbine. A Linear Matrix Inequality (LMI) optimization approach is employed for the design. The blade pitch angle and generator torque in the wind turbine have significantly different orders of magnitudes, rendering them vulnerable to faults of different magnitudes. This discrepancy poses a challenge for the simultaneous reconstruction of faults. To resolve this challenge, a modification is made to the observer. To examine the effectiveness of the modified SMO, two fault scenarios were considered for the hydraulic pitch actuator and generator torque actuator. In the first case, faults are introduced separately, while in the second case, faults occur simultaneously. Simulation results demonstrate accurate detection, isolation, and reconstruction of these faults, whether in the case of separate or simultaneous fault occurrences.","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"56 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140671015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improving the exploitation efficiency of cooling equipment by monitoring operational parameters 通过监测运行参数提高冷却设备的利用效率
Diagnostyka Pub Date : 2024-04-15 DOI: 10.29354/diag/186032
Robert Mirosław Pędzik
{"title":"Improving the exploitation efficiency of cooling equipment by monitoring operational parameters","authors":"Robert Mirosław Pędzik","doi":"10.29354/diag/186032","DOIUrl":"https://doi.org/10.29354/diag/186032","url":null,"abstract":"Cooling equipment is widely used in industry, commerce and households. Due to their widespread use, they are responsible for the consumption of a significant amount of electricity. They are subject to degradation and various types of damage. Most often, their energy efficiency decreases and electricity consumption increases. Practice shows that even a specialist service is unable to diagnose damage at an early stage of its development. The paper presents a comparison of continuous monitoring of the temperature of the cooling chamber as a utility standard, with constant monitoring of the temperature of the cooling chamber and electricity consumption of a professional refrigeration cabinet with a built-in condensing unit. The comparative analysis was intended to confirm the thesis about unconscious waste resulting from assessing the correct operation of the device based on limited information. The experiment showed an increase in daily electricity consumption on average by over 30% during the period of unconscious exploitation of the device in a state of failure and an increase in daily electricity consumption on average above 300% during the period of conscious exploitation of the device in a state of failure, but still at an acceptable level of temperature of cooling chamber.","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"32 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140699322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Changes in properties and the internal structure of polyethylene polymer railway sleepers 聚乙烯聚合物铁路枕木性能和内部结构的变化
Diagnostyka Pub Date : 2024-04-11 DOI: 10.29354/diag/183741
A. Butor, Krzysztof Labisz, Łukasz Wierzbicki
{"title":"Changes in properties and the internal structure of polyethylene polymer railway sleepers","authors":"A. Butor, Krzysztof Labisz, Łukasz Wierzbicki","doi":"10.29354/diag/183741","DOIUrl":"https://doi.org/10.29354/diag/183741","url":null,"abstract":"Elements of the railway infrastructure are subject to difficult weather conditions, as well as changing dynamic loads resulting from the operation of a given part of the infrastructure. The following article presents an analysis of the internal macro and microstructure of a polymer railway sleeper made of reinforced polyethylene. The aim of the research was to obtain the results of structure, analysis of hardness measurements and identification of structure inconsistencies and the presence of other structural components in recycled polyethylene substrates. In terms of the tested material properties of the polyethylene sleepers, no significant changes in strength and plastic stability were found for the samples made of polyethylene tested before and after exposure to varying atmospheric conditions in the climatic chamber","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"9 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140715991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New method for bearing fault diagnosis based on variational mode decomposition technique 基于变模分解技术的轴承故障诊断新方法
Diagnostyka Pub Date : 2024-04-04 DOI: 10.29354/diag/186751
Yahia Bousseloub, Farida Medjani, Ahmed Benmassoud, T. Kezai, Ali Belharma, I. Attoui
{"title":"New method for bearing fault diagnosis based on variational mode decomposition technique","authors":"Yahia Bousseloub, Farida Medjani, Ahmed Benmassoud, T. Kezai, Ali Belharma, I. Attoui","doi":"10.29354/diag/186751","DOIUrl":"https://doi.org/10.29354/diag/186751","url":null,"abstract":"","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"21 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140744967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Arduino-based implementation of kinematics for a 4 DOF robot manipulator using artificial neural network 利用人工神经网络，基于 Arduino 实现 4 DOF 机器人机械手的运动学功能
Diagnostyka Pub Date : 2024-02-19 DOI: 10.29354/diag/184235
Zaid Hikmat Rashid, R. A. Sarhan, Mohammed Salih Hassan
{"title":"Arduino-based implementation of kinematics for a 4 DOF robot manipulator using artificial neural network","authors":"Zaid Hikmat Rashid, R. A. Sarhan, Mohammed Salih Hassan","doi":"10.29354/diag/184235","DOIUrl":"https://doi.org/10.29354/diag/184235","url":null,"abstract":"Real-time motion control is basically dependent on robot kinematics analysis where there is no unique solution of the inverse kinematics of serial manipulators . The predictive artificial neural network is a powerful one for finding appropriate results based on training data. Therefore, an artificial neural network is proposed to implement on Arduino microcontroller for a 4-DOF robot manipulator where the inverse kinematics problem was partitioned to suit the low specification of the board CPU. With MATALB toolbox, multiple neural network configuration based were trained and experienced for the best fit of the dimensionless feedforward data that is obtained from the forward kinematics of reachable workspace with average MSE of 6.5e-7. The results showed the superior of the proposed networks reducing the joints error by 90 % at least with comparing to traditional one. An Arduino on-board program was developed to control the robot independly based on pre validated parameters of the network. The experimental results approved the proposed method to implement the robot in real time with maximum error of (± 0.15 mm) in end effector position. The presented approach can be applied to achieve a suitable solution of n-DOF self-depend robot implementation using micro stepping actuators.","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"3 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139958802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Novel diabetes classification approach based on CNN-LSTM: Enhanced performance and accuracy 基于 CNN-LSTM 的新型糖尿病分类方法：提高性能和准确性
Diagnostyka Pub Date : 2024-02-11 DOI: 10.29354/diag/183633
Ali El Moussati, Yassine Ayat, Wiame Benzekri, Ismail Mir, Mohammed Benzaouia, Abdelaziz Elaouni
{"title":"Novel diabetes classification approach based on CNN-LSTM: Enhanced performance and accuracy","authors":"Ali El Moussati, Yassine Ayat, Wiame Benzekri, Ismail Mir, Mohammed Benzaouia, Abdelaziz Elaouni","doi":"10.29354/diag/183633","DOIUrl":"https://doi.org/10.29354/diag/183633","url":null,"abstract":"","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"106 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139786139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Novel diabetes classification approach based on CNN-LSTM: Enhanced performance and accuracy 基于 CNN-LSTM 的新型糖尿病分类方法：提高性能和准确性
Diagnostyka Pub Date : 2024-02-11 DOI: 10.29354/diag/183633
Ali El Moussati, Yassine Ayat, Wiame Benzekri, Ismail Mir, Mohammed Benzaouia, Abdelaziz Elaouni
{"title":"Novel diabetes classification approach based on CNN-LSTM: Enhanced performance and accuracy","authors":"Ali El Moussati, Yassine Ayat, Wiame Benzekri, Ismail Mir, Mohammed Benzaouia, Abdelaziz Elaouni","doi":"10.29354/diag/183633","DOIUrl":"https://doi.org/10.29354/diag/183633","url":null,"abstract":"","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"44 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139845919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A new hybrid approach based on probability distribution and an improved machine learning for multivariate risk assessment 基于概率分布和改进型机器学习的多元风险评估新混合方法
Diagnostyka Pub Date : 2024-02-06 DOI: 10.29354/diag/183666
Abdelhakim Azzedine, Fatma Zohra Nouri, Salah Bouhouche
{"title":"A new hybrid approach based on probability distribution and an improved machine learning for multivariate risk assessment","authors":"Abdelhakim Azzedine, Fatma Zohra Nouri, Salah Bouhouche","doi":"10.29354/diag/183666","DOIUrl":"https://doi.org/10.29354/diag/183666","url":null,"abstract":"","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"85 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139802006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A new hybrid approach based on probability distribution and an improved machine learning for multivariate risk assessment 基于概率分布和改进型机器学习的多元风险评估新混合方法
Diagnostyka Pub Date : 2024-02-06 DOI: 10.29354/diag/183666
Abdelhakim Azzedine, Fatma Zohra Nouri, Salah Bouhouche
{"title":"A new hybrid approach based on probability distribution and an improved machine learning for multivariate risk assessment","authors":"Abdelhakim Azzedine, Fatma Zohra Nouri, Salah Bouhouche","doi":"10.29354/diag/183666","DOIUrl":"https://doi.org/10.29354/diag/183666","url":null,"abstract":"","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"10 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139862088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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