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31st European Safety and Reliability Conference, ESREL 2021

作者： Krini, Abderrahim Börcsök, Josef Engineering of Reliability and Quality Robert Bosch GmbH Germany Department of Computer Architecture and System Programming University of Kassel Kassel Germany

ISBN: (纸本)9789811820168

In general, failure data is obtained in the automotive industry during the warranty period. If these contain the expression of a service life characteristic for each failure, statements can be made about the reliability and availability of the systems. For this purpose, estimation methods are used to adapt empirical lifetime distributions to theoretical lifetime distributions. By means of the distribution characteristics, a prognosis of the reliability and availability to be expected is also possible beyond the observation time. In addition to the data basis to be investigated, which is available completely in test bench and experimental trials or re-censored in the field, various methods can be used for estimation. In the past, several methods have been used, such as the estimators according to ECKEL [1], Kaplan-Meier [2] or the estimators according to Pauli [3]. In general, a field failure is subject to several stresses, which can be described by expressions of several lifetime characteristics. For this application case, which occurs in the automotive industry, the known estimation methods, [1], [2], [3], cannot be used. In this paper, the necessity of multidimensional estimation methods will be introduced first. Then, a new estimation method for multidimensional metrics is presented. In a further step, mathematical proof is given that the new method can provide realistic results. Finally, two example data sets from bench testing and field are presented. Furthermore, some recommendations for the use of the new method are concretized in this context. © ESREL 2021. Published by Research Publishing, Singapore.

关键词： Reliability

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Advances of OPC client server architectures for maintenance strategies - A research and development area not only for industries

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WSEAS Transactions on systems and Control 2008年第3期3卷 195-207页

作者： Schwarz, M.H. Boercsoek, J. University of Kassel Department of Computer-architecture and System-programming Wilhelmshoeher Allee 34121 Kassel Germany HIMA Paul Hildebrandt GmbH + Co KG Albert-Bassermann-Str. 28 68782 Brühl Germany

OPC is a matured and accepted standard in industries, but hardly used in industrial applications developed at universities, especially in Europe. Publications in this area, either using OPC-communication or developing applications have been hardly increased over the past several years. This paper reports the current state of the standard, but also describes current problems and how they can be managed and overcome. The authors also give an overview of the recently published new standard, which is called: OPC unified approach. After the fundamentals are described in this paper, the authors present their experiences with OPC to combine it with methods and procedures to develop a modern maintenance system. It also reports current developments at the department of computer architecture and system programming at the University of Kassel.

关键词： Industrial research

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Novel Approach of a Smart Medical Mirror system for Medical Applications 5

Novel Approach of a Smart Medical Mirror System for Medical ...

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5th IEEE Middle East and Africa Conference on Biomedical Engineering, MECBME 2020

作者： Halaby, Shady Khoury, George Zeid Daou, Roy Abi Hayek, Ali Boercsoek, Josef Lebanese German University Biomedical Technologies Department Jounieh Lebanon Lebanese German University Biomedical Technologies Department Jounieh Lebanon Lebanese German University Biomedical Technologies Department Jounieh Lebanon University of Kassel Faculty of Electrical Engineering/Computer Science Department of Computer Architecture and System Programming Germany University of Kassel Faculty of Electrical Engineering/Computer Science Department of Computer Architecture and System Programming Germany

ISBN: (纸本)9781728123585

Humans always face problems when it comes to medical check-up due to lack of time or laziness. However, lots of medical problems and fatal illnesses can be detected at earlier stages if the person is subject to continuous check-up. Hence, the idea of the proposed system is to design a tool enabling the measurement of the basic vital signs with the smallest effort possible from the person's side. Thus, this paper proposes a smart medical mirror system that acts as a normal mirror and also delivers the basic vital signs of the user such as the heart rate, SPO2, body temperature, and Body Mass Index (BMI). The system takes five seconds for initialization and starts the measurements and displays the results. The user will not lose time as this check-up can be performed every morning while the person is wearing his clothes and getting ready to start his daily activities. The system was tested by multiple users having different body statuses. The recorded values showed very small differences with the exact ones. At the end, the system was able to meet the user specifications concerning its portability, sensitivity, accuracy and, most importantly, its low cost. © 2020 IEEE.

关键词： Mirrors

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Comparative Study for Classification Methods to Predict and Detect Epilepsy Seizure 5

Comparative Study for Classification Methods to Predict and ...

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5th IEEE Middle East and Africa Conference on Biomedical Engineering, MECBME 2020

作者： El Halabi, Nashaat Abi Zeid Daou, Roy Achkar, Roger Hayek, Ali Boercsoek, Josef American University of Science and Technology Department of Computer and Communications Engineering Faculty of Engineering Beirut Lebanon Faculty of Public Health Biomedical Technologies Department Jounieh Lebanon American University of Science and Technology Department of Computer and Communications Engineering Faculty of Engineering Beirut Lebanon Computer Science University of Kassel Department of Computer Architecture and System Programming Faculty of Electrical Engineering Germany Computer Science University of Kassel Department of Computer Architecture and System Programming Faculty of Electrical Engineering Germany

ISBN: (纸本)9781728123585

Epilepsy is a medical problem that tackles lots of patients. It limits the life activity of such patients due to the seizures that occur anytime and anywhere. Thus, creating a monitoring system that could make their life easier and allow them to perform daily life activities as safe as possible has been studied. This paper is a continuity for a project where a system monitors epileptic patients using a set of wearable sensors connected to several processing units, the main sensors are Electroencephalogram (EEG) for the electrical activity of the brain, electrocardiogram (ECG) for the electrical activity of the heart, and accelerometers to monitor the posture of the patient, features extracted from EEG and ECG signals are used for prediction/detection of seizures. Thus, the objective of this paper is to present a comparative study in order to choose the appropriate classification method for seizure prediction and detection. Five classification methods were studied: Decision Trees, Discriminant Analysis, Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Ensemble Learning. For each of the classification methods, the accuracy, the specificity, the sensitivity, the precision, the false detection rate and the Fmeasure were studied and compared. The results for seizure prediction system show that the highest accuracy, specificity and F-Measure, and lowest false detection rate were achieved with Bagged Trees Ensemble Learning, the highest sensitivity and precision were achieved with Quadratic Support Vector Machine. However, for seizure detection system, the highest accuracy and F-Measure were achieved with Linear Support Vector, the highest sensitivity and specificity were achieved with Fine Gaussian Support Vector Machine, and the highest precision and lowest false detection rate were achieved with Subspace Discriminant Ensemble Learning. © 2020 IEEE.

关键词： Support vector machines

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Design of a Novel Safe Approach to Monitor Drivers While Operating Their Cars 7

Design of a Novel Safe Approach to Monitor Drivers While Ope...

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7th International Conference on Advances in Biomedical Engineering, ICABME 2023

作者： Elhawawsha, Aseel Zeine, Carla Zeid Daou, Roy Abi Kalinowski, Dominik Khattar, Joseph Telawi, Samer Boercsoek, Josef University of Kassel Department of Computer Architecture and System Programming Kassel Germany Université la Sagesse Saculty of Engineering Mechatronics Eng. Department Beirut Lebanon

ISBN: (纸本)9798350325850

Road accidents have been known to be one of the leading death causes around the world for a long time. Thus, cars and all kinds of road vehicles form a huge source of danger, and they relate to multiple high risks. There are many factors that can contribute to road traffic accidents such as the health condition of the driver if a medical emergency event happened while driving, drowsiness, or mind-wandering. The proposed system can monitor the behavior of the driver while driving as well as his/her health status. Moreover, it analyzes the monitored data, alerts the driver in a timely manner, and assists him/her in adjusting the driving behavior. Different dangerous and risky situations which can be faced during driving can be captured and avoided by using such a system which leads at the end to increase road traffic safety and reduce vehicle collisions. Notifications are developed in cases of drowsiness, loss of focus, or other concerns that may emerge while driving. However, when the driver's ability to operate the vehicle safely is hampered by a health concern, the implemented system is only able at this stage to alarm the driver itself and the surrounding cars as a first level of alarms. © 2023 IEEE.

关键词： Roads and streets

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Improvement, application and verification of a new multivariate forecasting model for real industry related issues 31st

Improvement, application and verification of a new multivari...

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31st European Safety and Reliability Conference, ESREL 2021

作者： Krini, Abderrahim Börcsök, Josef Engineering of Remanufacturing and Quality Robert Bosch GmbH Schwäbisch Gmünd Germany Department of Computer Architecture and System Programming University Kassel Germany

ISBN: (纸本)9789811820168

With this work, a research contribution in the field of reliability theory has been made, with which a realistic prognosis of reliability parameters of technical systems can be carried out. The motivation to deal with this topic resulted from the realization that the prognosis quality of established prognosis models must be optimized. An early and realistic prognosis of reliability parameters contributes to the success of a concern, mainly through the early implementation of quality measures. The work focuses on the development of a new multivariate prognosis model, which uses multivariate stress parameters as reference variables. Its application enables the prediction of reliability parameters for electronic control units. The predicted reliability parameters can be specified as stress-dependent (bivariate/multivariate) or time-dependent variables. While univariate reference quantities usually use the time dwell time of a technical system, the prognosis model newly presented here can process multivariate reference quantities. During the time in the field, technical systems are not only exposed to different usage behavior, but also to other stresses and influences that make a not inconsiderable contribution to failure. The use of time in the field as a univariate reference variable does not allow for this differentiated consideration and does not take into account relevant information in the reliability analysis. All existing prediction models have in common that only univariate reference parameters can be processed. For a fully comprehensive reliability analysis, all stress variables that lead to a failure must be considered. This is not sufficiently possible with a simple univariate approach. With the new approaches, it is now possible for the first time to consider different stress variables, their changes and their effects on the technical system under investigation in a field data analysis. The presented approach for the multivariate prognosis model considers i

关键词： Forecasting

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Smart Medicine Box system 2

Smart Medicine Box System

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2nd IEEE International Multidisciplinary Conference on Engineering Technology, IMCET 2018

作者： Zeidan, Hiba Karam, Khalil Daou, Roy Abi Zeid Hayek, Ali Boercsoek, Josef Biomedical Technologies Department Lebanese German University Faculty of Public Health Jounieh Lebanon Department of Computer Architecture and System Programming Kassel University Kassel Germany

ISBN: (纸本)9781538645000

An advanced medicine box monitoring, analysis and control system is proposed in this paper. The latter design is based on a smart and safe medical box that assists patients in taking their pills treatment on time. Two main functionalities characterize this system: safety which assures the wellbeing of the patient and the good functioning of the system by duplicating the electrical components and the security that helps keeping the medication out of the reach of the children by automatically looking the medical box whenever the patient takes his pills. This system can also be monitored by the patient parents as it will be linked to a phone application. This application will be used to configure the medical box by calculating the weight of each pill, setting the schedule of medical intake, alarming the user of the number of remaining pills, generating alarms whenever the patient does not take the required number of pills or doesn't take them at all, and so on... This system was implemented and tested by more than 50 patients who were taking several medication types (each one of them takes one medication only) and were using different mobile phone. The overall results were very acceptable with a faulty alarm generation below 3%. © 2018 IEEE.

关键词： Pelletizing

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Effects of varying diagnostic coverage on functional safety

Effects of varying diagnostic coverage on functional safety

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2014 International Symposium on Fundamentals of Electrical Engineering, ISFEE 2014

作者： Üstoʇlu, Ilker Kaymakçi, Özgür T. Börcsök, Josef Department of Control and Automation Engineering Yildiz Technical University Esenler Istanbul34220 Turkey Department of Computer Architecture and System Programming University of Kassel Kassel34121 Germany

ISBN: (纸本)9781479968213

Diagnostics is one of the significant parameters of functional safety which concerns itself with revealing dangerous incidents that might impede the operation of safety systems. Diagnostic coverage factor (DC) is defined as a metric for diagnostics in that DC is one of the most important design parameters to measure the effectiveness of safety protection systems. This study addresses how diagnostics impacts proof test interval (TI) when the system is halted completely;a thorough maintenance and changes in parts are performed. Besides this, the relationship between average probability of failure on demand (PFDavg), DC, TI and mean time to failure (MTTF) are presented for 1oo2 and 1oo2D system architectures. © 2014 IEEE.

关键词： Safety factor

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Extended Approach to Selecting a project-specific Reliability Growth Model

Extended Approach to Selecting a project-specific Reliabilit...

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International Convention on Information and Communication Technology, Electronics and Microelectronics

作者： Jamal Krini Abderrahim Krini Ossmane Krini Josef Borcsok Department of Computer Architecture and System Programming University of Kassel

ISBN: (纸本)9781509025435

The software reliability represents one of the most crucial aspects of functional safety. Software is used in almost any electronic systems. When a safety-critical system is considered, it has to be ensured that the software is able to fulfil the minimum safety requirements. If this is not the case, the software will have to be improved until the minimum requirements are fulfilled. Reliability growth models are used to determine the reliability of software. Depending on the area of application one specific model can deliver better prognosis results than another. This paper serves to introduce a methodology, which is provided for the purpose of selecting the most appropriate model.

关键词： Functional safety Error-related hazard rate Mean value function Forecasting Poisson model Program hazard rate Sigmoid function systematic errors Shooman model Unknown errors Prediction Failure rate Reliability growth models Time-dependent models Software engineering Safety-related systems Prognosis Bathtub curve Early failures Normal failures Late failures Probability of default Failure density MTTR MTTF MTBF Maximum likelihood estimation Estimation procedures Model parameters Effectiveness investigation model Quality criterion Absolute error

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Improvement and verification methods for components/systems in automobile applications in the field of reliability forecasting with respect to one and two dimensions of stress factors 30

Improvement and verification methods for components/systems ...

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30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020

ISBN: (纸本)9789811485930

The details of future failures of systems that are serially produced are important for the remanufacturing departments to frame an optimal strategy for the post series supply. The existing one-dimensional and two-dimensional reliability prediction models predict field failures as a function of time based on the stress which the components/systems experience in the field until failure. In day-to-day situations the failure forecasts depend on many external factors like registration delay, which is the delay between the production of a system and its registration in market, reporting delay, which is the delay between the field failure and its reporting time, the export of vehicles to other countries or permanent damage caused to the vehicles. The improvement procedures are integrated into the existing reliability forecast models to reduce the incompleteness of the warranty data due to the influence of external factors using MATLAB. The verification process is to compare the forecasted field failures by the existing models with the actual field failures. The prognosis is carried out based on different failures data sets. With the help of sales data from Original Equipment Manufacturers, the forecasted failures Year to Date are verified. A validation of the results is carried out to check the impact of the influencing factors. © ESREL2020-PSAM15 *** by Research Publishing, Singapore.

关键词： Forecasting

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