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
{"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}
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.
本文介绍了一种应用于风力涡轮机系统的故障检测和隔离（FDI）方法。该方法利用非线性滑模观测器 (SMO) 有效重建风力涡轮机液压变桨作动器和发电机扭矩作动器中的故障。设计中采用了线性矩阵不等式（LMI）优化方法。风力涡轮机中的叶片桨距角和发电机扭矩的量级相差很大，因此容易受到不同量级故障的影响。这种差异给同时重建故障带来了挑战。为解决这一难题，对观测器进行了修改。为了检验修改后的 SMO 的有效性，考虑了液压变桨作动器和发电机扭矩作动器的两种故障情况。在第一种情况下，故障分别发生，而在第二种情况下，故障同时发生。仿真结果表明，无论是单独还是同时出现故障，都能准确地检测、隔离和重建这些故障。
{"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}
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.
{"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}
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
{"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}
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}
Zaid Hikmat Rashid, R. A. Sarhan, Mohammed Salih Hassan
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.
{"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}
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}
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}
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}
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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：