{"title":"Performance assessment of systems including conflict in the context of dynamic reliability","authors":"G. Castañeda, J. Aubry, N. Brînzei","doi":"10.1504/IJAIS.2010.034802","DOIUrl":"https://doi.org/10.1504/IJAIS.2010.034802","url":null,"abstract":"This article presents the assessment performed through a Monte Carlo simulation of the dependability parameters in a context of dynamic reliability. For that, the system is modelled by a stochastic hybrid automaton which has been defined formally. This stochastic hybrid automaton allows taking into account an important problem of the dynamic reliability: the different behaviours under the occurrence of events. The conflict that appears at any given time during the simulation representing the choice of one of these possible behaviours is determined by a probabilistic choice; a probability distribution is associated to each conflict. This approach is illustrated on a case-study represented by the temperature control system of an oven.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115794654","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}
{"title":"Multiple sensor fault detection and isolation of an air quality monitoring network using RBF-NLPCA model","authors":"M. Harkat, Y. Tharrault, G. Mourot, J. Ragot","doi":"10.1504/IJAIS.2010.034804","DOIUrl":"https://doi.org/10.1504/IJAIS.2010.034804","url":null,"abstract":"This paper presents a data-driven method based on non-linear principal component analysis to detect and isolate multiple sensor faults. The RBF-NLPCA model is obtained by combining a principal curve algorithm and two three-layer radial basis function (RBF) networks. The reconstruction approach for multiple sensors is proposed in the non-linear case and successfully applied for multiple sensor fault detection and isolation of an air quality monitoring network. The proposed approach reduces considerably the number of reconstruction combinations and allows to determine replacement values for the faulty sensors.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125555161","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}
M. Anand, T. Selvaraj, Somasundaram Kumanan, T. Ajitha
{"title":"A neuro-fuzzy-based fault detection and fault tolerance methods for industrial robotic manipulators","authors":"M. Anand, T. Selvaraj, Somasundaram Kumanan, T. Ajitha","doi":"10.1504/IJAIS.2010.034808","DOIUrl":"https://doi.org/10.1504/IJAIS.2010.034808","url":null,"abstract":"Fault tolerance is increasingly important in industrial robots. The ability to detect and tolerate failures allows robots to effectively cope with internal failures and continue performing designated tasks without the need for immediate human intervention. To tolerate hardware failures, a set of fault tolerance algorithms are written for each component. These processes are responsible for detecting faults in their respective component and minimising the impact of the failure on the robot's performance. This work presents new intelligent neuro-fuzzy fault detection algorithms, which detect failures in robot components using analytical redundancy relations. An intelligent fault tolerance framework is proposed in which a fault component database or rule base and the detection algorithms work together to detect and tolerate sensor or motor failures in a robot system. Motor faults as well as sensor faults are considered. The Scorbot ER 5u plus model was simulated in robotics toolbox for MATLAB using the neuro-fuzzy algorithms.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129915720","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}
{"title":"Non-linear multiscale principal component analysis for fault detection: application to pollution parameters","authors":"O. Bara, M. T. Khadir, M. Djeghaba","doi":"10.1504/IJAIS.2010.034803","DOIUrl":"https://doi.org/10.1504/IJAIS.2010.034803","url":null,"abstract":"In the general frame of process surveillance, principal component analysis (PCA) has been often selected due to its simplicity and ability to capture the linear relations between the stationary process variables. However, the method showed limitations when dealing with industrial data that generally presents non-linear and multiscale features. The approach proposed in this study rests on the modelling using non-linear PCA coupled with artificial neural networks (ANNs) to extract the non-linear inter-correlation between variables and on the wavelet analysis to decompose each sensor signal into a set of coefficients at different scales. The contribution of each variable for each scale is then collected in separated matrices and a non-linear PCA model is constructed for each matrix. The proposed approach is applied to fault detection of pollution parameters affecting the region of Annaba in Algeria. The performance of the approach is then illustrated and compared with those of classic PCA and multiscale PCA (MSPCA).","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126570282","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}
Abdennaceur Zizouni, A. Hazzab, I. K. Bousserhane, P. Sicard
{"title":"Performance evaluation and risk management for industrial systems by using fuzzy controller","authors":"Abdennaceur Zizouni, A. Hazzab, I. K. Bousserhane, P. Sicard","doi":"10.1504/IJAIS.2010.034806","DOIUrl":"https://doi.org/10.1504/IJAIS.2010.034806","url":null,"abstract":"In this work, we present a synthesis methodology of a multivariable fuzzy controller for the control of a multi-motor system (MMS) that can be intended for winding and unwinding controlled transport processes. The simulation results show that the integration of the fuzzy multivariable controller brought good performances compared to the multivariable PI-structure controller, and a clear improvement at the level of control and synchronism performances between velocities of the MMS motors compared to the fuzzy mono-variable controller. This shows that the integration of the proposed controller can increase the line production.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126408468","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}
{"title":"ESA_Petri net: dynamic reliability analysis tool","authors":"R. Guillerm, H. Demmou, N. Sadou","doi":"10.1504/IJAIS.2010.034800","DOIUrl":"https://doi.org/10.1504/IJAIS.2010.034800","url":null,"abstract":"This paper presents a new version of critical (feared) scenarios derivation tool ESA PetriNet (extraction scenarios algorithm from Petri net) available from: http://www.laas.fr/ESA. ESA PetriNet allows to derive scenarios leading to critical (feared) situation. In the past version of the tool hybrid aspect (both discrete and continuous dynamic) of system is tacked into account by temporal abstraction. In the version presented in this paper, the system model is given by a hybrid Petri net (differential predicate-transition Petri net) and the hybrid model is directly considered (without temporal abstraction). The algorithm implemented deals with both continuous and discrete dynamics. Furthermore, generated scenarios are minimal (only necessary events). Only necessary information is provided to designer.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115889879","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}
{"title":"Embedded diagnosis based on vibration data","authors":"O. Bennouna, H. Chafouk, O. Robin, J. P. Roux","doi":"10.1504/IJAIS.2010.034805","DOIUrl":"https://doi.org/10.1504/IJAIS.2010.034805","url":null,"abstract":"This article deals with a method based on vibration data measured on electronic systems to detect, identify and localise defects generated in these systems, in order to improve their reliability. The diagnosis procedure is based on the combination of wavelet transforms and neural networks; this procedure is applied to a simplified printed circuit board.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132013556","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}
{"title":"A multi-objective genetic algorithm approach for adaptive PSS and TCSC-based controller design","authors":"S. Panda, N. P. Patidar, R. Singh","doi":"10.1504/IJAIS.2010.032275","DOIUrl":"https://doi.org/10.1504/IJAIS.2010.032275","url":null,"abstract":"This paper presents a multi-objective evolutionary algorithm approach for adaptive design of a power system stabiliser (PSS) and a thyristor controlled series compensator (TCSC)-based controller. The design objective is minimisation of both angle and voltage time trajectory deviations with respect to a post-contingency equilibrium point for a power system installed with a PSS and a TCSC controller. The optimal controller parameters of proposed controllers are coordinately designed. To show the adaptive capabilities of proposed approach, simulation results are presented at various loading conditions with parameter variations. Also, the results are compared with single objective GA approach to show the superiority of the proposed approach.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114062504","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}
{"title":"Multi-steps diagnosis of discrete event systems with Petri net models","authors":"D. Lefebvre","doi":"10.1504/IJAIS.2010.032279","DOIUrl":"https://doi.org/10.1504/IJAIS.2010.032279","url":null,"abstract":"The aim of diagnosis is to detect and isolate faults according to the observable traces generated by the system. This article concerns multi-steps diagnosis of discrete event systems modelled with ordinary Petri nets. The main contribution is to decide which sets of places must be considered for r-steps diagnosis of some fault transitions or groups of fault transitions. Conditions and algorithms are proposed that lead to sensor selection in order to design diagnosers in a systematic way without expanding the reachability graph of the Petri net models.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"251 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131999775","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}
{"title":"Representation of defaults and constraints in EHCPRs system: an implementation","authors":"Sarika Jain, N. K. Jain","doi":"10.1504/IJAIS.2010.032274","DOIUrl":"https://doi.org/10.1504/IJAIS.2010.032274","url":null,"abstract":"A knowledge representation (KR) language using constraints programming technique is considered. Each knowledge base structuring scheme has merits and demerits, each should be applied for the purpose it best serves, the prime focus being on creating well-grained and efficient KR. The use of the object-oriented approach makes it possible to unify various means of KR such as frames, semantic networks, and production rules as well as methods of constraint programming within the framework of one language. In this paper issues related to representation and reasoning with defaults and constraints in the EHCPRs system and its suitable implementation are taken up.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129224292","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}