Pub Date : 2017-07-01DOI: 10.1109/INDIN.2017.8104781
Vasco Ferreira, F. Souza, R. Araújo
In this paper a semi-supervised regression model based on co-training is applied on the soft sensor context, together with a feature ranking approach which has the purpose of removing irrelevant features. The description of both the methods of semi-supervised regression and feature ranking, as well as the theorethical foundation of the proposed feature ranking approach are also given. To evaluate the proposed methodology, a real-world polymerization industrial process was used as example. The results demonstrate that the devised feature ranking and selection improves the semi-supervised regression model.
{"title":"Semi-supervised soft sensor and feature ranking based on co-regularised least squares regression applied to a polymerization batch process","authors":"Vasco Ferreira, F. Souza, R. Araújo","doi":"10.1109/INDIN.2017.8104781","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104781","url":null,"abstract":"In this paper a semi-supervised regression model based on co-training is applied on the soft sensor context, together with a feature ranking approach which has the purpose of removing irrelevant features. The description of both the methods of semi-supervised regression and feature ranking, as well as the theorethical foundation of the proposed feature ranking approach are also given. To evaluate the proposed methodology, a real-world polymerization industrial process was used as example. The results demonstrate that the devised feature ranking and selection improves the semi-supervised regression model.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"129 1","pages":"257-262"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89196821","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}
In our analysis, we consider daily rainfall records y(n) from 3825 areas covering entire China. The daily rainfall records is 50 years long from 1961 to 2011. We study the statistical properties of the daily rainfall data and return intervals Tq between two consecutive rainfall records above some threshold q. Using the detrended fluctuation analysis (DFA) method to analyze the long-term correlation properties of the rainfall record y(n) and return intervals Tq, we find that the long-term correlation is not exist in rainfall record, while a weak long-term correlation is found in return intervals, pointing to a random regulation of rainfall dynamics. Then, we further analyze the probability distribution function (PDF) of the rainfall record and return intervals of all the 3825 areas, and find that all the PDF obey a power-law distribution.
{"title":"Detrended fluctuation analysis of daily rainfall records of the entire China","authors":"Choujun Zhan, Weiwen Cao, Junyu Fan, Chen-Mao Wu, Zhi Yang, Mingbo Zhao","doi":"10.1109/INDIN.2017.8104912","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104912","url":null,"abstract":"In our analysis, we consider daily rainfall records y(n) from 3825 areas covering entire China. The daily rainfall records is 50 years long from 1961 to 2011. We study the statistical properties of the daily rainfall data and return intervals Tq between two consecutive rainfall records above some threshold q. Using the detrended fluctuation analysis (DFA) method to analyze the long-term correlation properties of the rainfall record y(n) and return intervals Tq, we find that the long-term correlation is not exist in rainfall record, while a weak long-term correlation is found in return intervals, pointing to a random regulation of rainfall dynamics. Then, we further analyze the probability distribution function (PDF) of the rainfall record and return intervals of all the 3825 areas, and find that all the PDF obey a power-law distribution.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"216 1","pages":"1013-1018"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79611533","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}
Pub Date : 2017-07-01DOI: 10.1109/INDIN.2017.8104933
Jan-Gregor Fischer, B. Obst, Benjamin Lee
In this paper a generic simulation environment is introduced that allows the integration of commercial and research-based simulation tools in a service-oriented manufacturing environment, such as in Industrie 4.0 factories, to support in flexible reconfiguration and scheduling decisions. For this purpose, the simulation environment is connected to a generic middleware and processes parameterized simulation requests via automated model generation and execution, based on current shop floor conditions. Those simulation requests are formulated in a standardized description language for production systems, in this case a derivative of AutomationML (AML) that was extended by simulation specific data sets. Therefore, the Simulation Environment comprises different tool- and non-tool-specific functionalities and components that allow the integration of simulation tools into industrial IT platform environments.
{"title":"Integrating material flow simulation tools in a service-oriented industrial context","authors":"Jan-Gregor Fischer, B. Obst, Benjamin Lee","doi":"10.1109/INDIN.2017.8104933","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104933","url":null,"abstract":"In this paper a generic simulation environment is introduced that allows the integration of commercial and research-based simulation tools in a service-oriented manufacturing environment, such as in Industrie 4.0 factories, to support in flexible reconfiguration and scheduling decisions. For this purpose, the simulation environment is connected to a generic middleware and processes parameterized simulation requests via automated model generation and execution, based on current shop floor conditions. Those simulation requests are formulated in a standardized description language for production systems, in this case a derivative of AutomationML (AML) that was extended by simulation specific data sets. Therefore, the Simulation Environment comprises different tool- and non-tool-specific functionalities and components that allow the integration of simulation tools into industrial IT platform environments.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"28 1","pages":"1135-1140"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86700159","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}
Pub Date : 2017-07-01DOI: 10.1109/INDIN.2017.8104774
Jérôme Mendes, F. Souza, R. Araújo
The paper proposes a methodology to self-evolve an online fuzzy logic controller (FLC). The proposed methodology does not require any initialization at all, it can start with an empty set of fuzzy control rules or with a simple collection of fuzzy control rules obtained from an expert operator. The FLC design is online, using only the input/output data obtained during the normal operation of the system while it is being controlled. The FLC is composed of a simple structure, where each input variable has its own set of fuzzy control rules, and is evaluated individually by the proposed methodology avoiding the high increase in the number of fuzzy control rules. The FLC structure and their antecedent and consequent parameters are both online modified by the proposed methodology. Only simple information about the system and controller is need, specifically the universe of discourse of the input and output variables, an information that is mandatory to control any process. The performance of the proposed methodology is tested on a simulated continuous-stirred tank reactor (CSTR) system where the results show that the proposed methodology has the capability of designing the FLC in order to successfully controlling the CSTR system by evolving/modifying the FLC structure when unknown regions of operation are reached (unknown for the controller).
{"title":"Online evolving fuzzy control design: An application to a CSTR plant","authors":"Jérôme Mendes, F. Souza, R. Araújo","doi":"10.1109/INDIN.2017.8104774","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104774","url":null,"abstract":"The paper proposes a methodology to self-evolve an online fuzzy logic controller (FLC). The proposed methodology does not require any initialization at all, it can start with an empty set of fuzzy control rules or with a simple collection of fuzzy control rules obtained from an expert operator. The FLC design is online, using only the input/output data obtained during the normal operation of the system while it is being controlled. The FLC is composed of a simple structure, where each input variable has its own set of fuzzy control rules, and is evaluated individually by the proposed methodology avoiding the high increase in the number of fuzzy control rules. The FLC structure and their antecedent and consequent parameters are both online modified by the proposed methodology. Only simple information about the system and controller is need, specifically the universe of discourse of the input and output variables, an information that is mandatory to control any process. The performance of the proposed methodology is tested on a simulated continuous-stirred tank reactor (CSTR) system where the results show that the proposed methodology has the capability of designing the FLC in order to successfully controlling the CSTR system by evolving/modifying the FLC structure when unknown regions of operation are reached (unknown for the controller).","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"218-225"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85183534","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}
Pub Date : 2017-07-01DOI: 10.1109/INDIN.2017.8104795
Suhyun Cha, Sebastian Ulewicz, B. Vogel‐Heuser, A. Weigl, Mattias Ulbrich, Bernhard Beckert
High quality requirements are set for automated production systems (aPS) as malfunctions can harm humans or cause severe financial loss. These malfunctions can be caused by faults in the control software of the aPS or its inability to correctly identify and handle unintended situations and errors in the technical process or hardware behavior. To achieve more dependable control software, software testing and formal verification can be used to find faults in the software, but require to make assumptions about possible situations (inputs) occurring in the aPS during runtime and often only allow the validation of specific cases. Monitoring individual functions within the control software during runtime can help to identify unspecified situations and raise warnings of the uncertainty about the suitability of a reaction. Yet, the design of reliable monitoring functions requires extensive experience and resources. For this reason, we propose a method for generating monitoring functions from available testing and verification specifications initially used for validating a control software function. Through this, it is possible to continuously assess the behavior of individual software functions and to identify and warn about a) violations of the test specification during runtime and b) unintended situations in which correct software behavior was never tested. Thus, the approach can help to assess and improve both the control software and specification quality through observation and behavior assessment far beyond the testing phase by efficiently reusing existing test specifications for runtime monitoring.
{"title":"Generation of monitoring functions in production automation using test specifications","authors":"Suhyun Cha, Sebastian Ulewicz, B. Vogel‐Heuser, A. Weigl, Mattias Ulbrich, Bernhard Beckert","doi":"10.1109/INDIN.2017.8104795","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104795","url":null,"abstract":"High quality requirements are set for automated production systems (aPS) as malfunctions can harm humans or cause severe financial loss. These malfunctions can be caused by faults in the control software of the aPS or its inability to correctly identify and handle unintended situations and errors in the technical process or hardware behavior. To achieve more dependable control software, software testing and formal verification can be used to find faults in the software, but require to make assumptions about possible situations (inputs) occurring in the aPS during runtime and often only allow the validation of specific cases. Monitoring individual functions within the control software during runtime can help to identify unspecified situations and raise warnings of the uncertainty about the suitability of a reaction. Yet, the design of reliable monitoring functions requires extensive experience and resources. For this reason, we propose a method for generating monitoring functions from available testing and verification specifications initially used for validating a control software function. Through this, it is possible to continuously assess the behavior of individual software functions and to identify and warn about a) violations of the test specification during runtime and b) unintended situations in which correct software behavior was never tested. Thus, the approach can help to assess and improve both the control software and specification quality through observation and behavior assessment far beyond the testing phase by efficiently reusing existing test specifications for runtime monitoring.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"48 1","pages":"339-344"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86569062","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}
Pub Date : 2017-07-01DOI: 10.1109/INDIN.2017.8104951
Lawrence K. Letting, Y. Hamam, A. Abu-Mahfouz
The application of simulation optimization in water distribution network analysis and design is a promising method for generating solutions to existing challenges. The absence of a standard interface for coupling the open source EPANET software package to optimization algorithms increases the implementation effort and limits the comparison of results. This work presents a methodology for implementing an interface for coupling optimization algorithms with EPANET. The proposed technique uses the internal simulation clock events in a discrete event simulation platform to co-ordinate optimization loops and data exchange. The utilization of intermediate input/output files is avoided in order to increase the simulation speed. A water distribution network implemented in the EPANET solver is considered as a discrete event to be interfaced with optimization algorithms. The interface module is implemented as a C/C++ mex-file for EPANET in the MATLAB/Simulink platform. The methodology enables the user to evaluate the fitness of the design parameters with easy access to data logging and visualization tools at run-time. The proposed technique is used to implement the particle swarm optimization algorithm (PSO) and applied to design a benchmark water distribution network.
将仿真优化应用于配水管网分析与设计是解决现有问题的一种很有前途的方法。由于缺乏将开源EPANET软件包与优化算法耦合的标准接口，因此增加了实现工作量并限制了结果的比较。这项工作提出了一种实现与EPANET耦合优化算法接口的方法。该技术利用离散事件仿真平台中的内部仿真时钟事件来协调优化循环和数据交换。为了提高仿真速度，避免了中间输入/输出文件的使用。在EPANET求解器中实现的配水网络被视为一个离散事件，并与优化算法相接口。该接口模块在MATLAB/Simulink平台上作为EPANET的C/ c++ mex文件实现。该方法使用户能够在运行时轻松访问数据记录和可视化工具来评估设计参数的适用性。将该方法应用于粒子群优化算法(PSO)，并应用于基准配水网络的设计。
{"title":"An interface for coupling optimization algorithms with EPANET in discrete event simulation platforms","authors":"Lawrence K. Letting, Y. Hamam, A. Abu-Mahfouz","doi":"10.1109/INDIN.2017.8104951","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104951","url":null,"abstract":"The application of simulation optimization in water distribution network analysis and design is a promising method for generating solutions to existing challenges. The absence of a standard interface for coupling the open source EPANET software package to optimization algorithms increases the implementation effort and limits the comparison of results. This work presents a methodology for implementing an interface for coupling optimization algorithms with EPANET. The proposed technique uses the internal simulation clock events in a discrete event simulation platform to co-ordinate optimization loops and data exchange. The utilization of intermediate input/output files is avoided in order to increase the simulation speed. A water distribution network implemented in the EPANET solver is considered as a discrete event to be interfaced with optimization algorithms. The interface module is implemented as a C/C++ mex-file for EPANET in the MATLAB/Simulink platform. The methodology enables the user to evaluate the fitness of the design parameters with easy access to data logging and visualization tools at run-time. The proposed technique is used to implement the particle swarm optimization algorithm (PSO) and applied to design a benchmark water distribution network.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"62 1","pages":"1235-1240"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90889510","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}
Pub Date : 2017-07-01DOI: 10.1109/INDIN.2017.8104900
Shreya M. Banerjee, T. Goto, N. Debnath, A. Sarkar
Most NoSQL databases have been devised independently from each other with specific application requirements. This has resulted in developing separate own data model and query language for each NoSQL database. The lack of standards in data models and query languages make applications and data less portable using these databases. Further, absence of formal semantics in query languages inhibits a precise understanding of query over NoSQL databases. To handle these issues, in this paper, an ontology driven query language for NoSQL databases is proposed. The proposed query language provides an efficient and common abstraction over the operational aspects on various kinds of NoSQL databases. The language includes formal common syntax and semantics of distinct query operators of NoSQL databases and those are represented in Description Logic. Further, usefulness of proposed query operators are proved using a suitable case study.
{"title":"Ontology driven query language for NoSQL databases","authors":"Shreya M. Banerjee, T. Goto, N. Debnath, A. Sarkar","doi":"10.1109/INDIN.2017.8104900","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104900","url":null,"abstract":"Most NoSQL databases have been devised independently from each other with specific application requirements. This has resulted in developing separate own data model and query language for each NoSQL database. The lack of standards in data models and query languages make applications and data less portable using these databases. Further, absence of formal semantics in query languages inhibits a precise understanding of query over NoSQL databases. To handle these issues, in this paper, an ontology driven query language for NoSQL databases is proposed. The proposed query language provides an efficient and common abstraction over the operational aspects on various kinds of NoSQL databases. The language includes formal common syntax and semantics of distinct query operators of NoSQL databases and those are represented in Description Logic. Further, usefulness of proposed query operators are proved using a suitable case study.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"81 1","pages":"951-956"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91304231","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}
Pub Date : 2017-07-01DOI: 10.1109/INDIN.2017.8104773
D. D'Addona, Alessandro A. G. Bruzzone Dime
Manufacturing industries in the 21st century will face unpredictable, high-frequency market changes driven by globalization. Consequently, industries have to shift to more cost-effective production systems. Reconfigurability can provide cost-effective and quick reaction to market changes. This paper discloses a new paradigm in Reconfigurable Machining Systems, RMS, that enables flexibility, by the principle of modularity, integrability, scalability and convertibility in an easy manner. The architecture, characteristics and advantages of the new Lego-like RMS are presented and discussed.
{"title":"Lego-like reconfigurable machining system: New perspecives to optimize production capacity","authors":"D. D'Addona, Alessandro A. G. Bruzzone Dime","doi":"10.1109/INDIN.2017.8104773","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104773","url":null,"abstract":"Manufacturing industries in the 21st century will face unpredictable, high-frequency market changes driven by globalization. Consequently, industries have to shift to more cost-effective production systems. Reconfigurability can provide cost-effective and quick reaction to market changes. This paper discloses a new paradigm in Reconfigurable Machining Systems, RMS, that enables flexibility, by the principle of modularity, integrability, scalability and convertibility in an easy manner. The architecture, characteristics and advantages of the new Lego-like RMS are presented and discussed.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"13 1","pages":"212-217"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73449069","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}
Pub Date : 2017-07-01DOI: 10.1109/INDIN.2017.8104949
A. Korodi, I. Silea
The Internet of Things means a connected world. When reaching the industrial level, the automation equipment present a large life cycle and the systems are many times conceived using proprietary protocols. Bringing interoperability to local automation is often a difficult task and changes in the functional structures, particularly in the case of critical infrastructures like the water industry, have to be of the lowest possible magnitude. The paper proposes a low-cost middleware OPC UA wrapping structure in order to assure interoperability of the local automation. The solution is also offering the possibility to monitor and control the local system, to create a local historian and to further implement control algorithms for existing structures or to optimize existing tags packaging for further Supervisory Control and Data Acquisition (SCADA) integration without modifying the local software. The developments were tested in real scenarios, a case study in the water industry being presented.
{"title":"Achieving interoperability using low-cost middleware OPC UA wrapping structure. Case study in the water industry","authors":"A. Korodi, I. Silea","doi":"10.1109/INDIN.2017.8104949","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104949","url":null,"abstract":"The Internet of Things means a connected world. When reaching the industrial level, the automation equipment present a large life cycle and the systems are many times conceived using proprietary protocols. Bringing interoperability to local automation is often a difficult task and changes in the functional structures, particularly in the case of critical infrastructures like the water industry, have to be of the lowest possible magnitude. The paper proposes a low-cost middleware OPC UA wrapping structure in order to assure interoperability of the local automation. The solution is also offering the possibility to monitor and control the local system, to create a local historian and to further implement control algorithms for existing structures or to optimize existing tags packaging for further Supervisory Control and Data Acquisition (SCADA) integration without modifying the local software. The developments were tested in real scenarios, a case study in the water industry being presented.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"119 1","pages":"1223-1228"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73569907","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}
Pub Date : 2017-07-01DOI: 10.1109/INDIN.2017.8104920
Mingbo Zhao, Bing Li, Jie Qi, Yongsheng Ding
Rolling element bearings play an important role in ensuring the availability of industrial machines. Unexpected bearing failures in such machines during field operation can lead to machine breakdown, which may have some pretty severe implications. However, the insufficiency of labeled samples is major problem for handling fault diagnosis problem. To address such concern, we propose a semi-supervised method for diagnosing faulty bearings by utilizing unlabeled samples. The superiority of our algorithm has been validated by comparison with other state-of art methods based on a rolling element bearing data. The classification accuracy of bearing data show that our algorithm is able to recognize different bearing fault categories effectively. Thus, it can be considered as a promising method for fault diagnosis.
{"title":"Semi-supervised classification for rolling fault diagnosis via robust sparse and low-rank model","authors":"Mingbo Zhao, Bing Li, Jie Qi, Yongsheng Ding","doi":"10.1109/INDIN.2017.8104920","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104920","url":null,"abstract":"Rolling element bearings play an important role in ensuring the availability of industrial machines. Unexpected bearing failures in such machines during field operation can lead to machine breakdown, which may have some pretty severe implications. However, the insufficiency of labeled samples is major problem for handling fault diagnosis problem. To address such concern, we propose a semi-supervised method for diagnosing faulty bearings by utilizing unlabeled samples. The superiority of our algorithm has been validated by comparison with other state-of art methods based on a rolling element bearing data. The classification accuracy of bearing data show that our algorithm is able to recognize different bearing fault categories effectively. Thus, it can be considered as a promising method for fault diagnosis.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"48 1","pages":"1062-1067"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78025428","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}
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