2012 IEEE International Conference on Industrial Technology最新文献_第7页

Fault diagnosis for steam separators based on parameter identification and CUSUM classification 基于参数识别和CUSUM分类的蒸汽分离器故障诊断

2012 IEEE International Conference on Industrial Technology Pub Date : 2012-03-19 DOI: 10.1109/ICIT.2012.6209946

P. Tadić, Z. Durovic, B. Kovacevic, V. Papic

{"title":"Fault diagnosis for steam separators based on parameter identification and CUSUM classification","authors":"P. Tadić, Z. Durovic, B. Kovacevic, V. Papic","doi":"10.1109/ICIT.2012.6209946","DOIUrl":"https://doi.org/10.1109/ICIT.2012.6209946","url":null,"abstract":"A method for diagnosing faults in steam separators is presented. Faults in the water level, water flow and steam flow sensors are analyzed. Precise models of the steam separator system are difficult to obtain, which makes the most common model-based fault detection and isolation approaches unapplicable. An identification-based method is used instead: parameters of the process are identified in real time, and the resulting data samples, which we denote as residuals, are used as inputs to a CUSUM-type classification scheme. It then decides if a fault is present, and if so, which one. In other words, residuals are first generated by parameter identification, and then evaluated by a modification of the CUSUM test. The choice of the CUSUM algorithm was motivated by its optimality with respect to detection delay. The identified parameters are assumed to be normally distributed. This assumption is experimentally verified: the true probability density functions (PDF) are estimated, and the performance of the detector based on these estimated PDFs is compared to that of the previous detector, based on the Gaussian PDF. The proposed method was tested on real-world data, obtained from the TEKO B1 Unit of the Kostolac Thermal Power Plant in Serbia. The results suggest extremely low probabilities of false alarm, missed detection and false isolation. As for detection delay, just one residual sample is needed for proper fault diagnosis in some cases, while 83 samples are needed in the worst-case scenario.","PeriodicalId":365141,"journal":{"name":"2012 IEEE International Conference on Industrial Technology","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128468291","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: 4

To robust identification of water steam-separator process in thermal power plants 目的:对火电厂水蒸汽分离过程进行鲁棒辨识

2012 IEEE International Conference on Industrial Technology Pub Date : 2012-03-19 DOI: 10.1109/ICIT.2012.6209945

G. Kvascev, A. Marjanović, P. Tadić, Z. Djurovic

引用次数: 0

A layered e-maintenance architecture powered by smart wireless monitoring components 由智能无线监控组件提供支持的分层电子维护架构

2012 IEEE International Conference on Industrial Technology Pub Date : 2012-03-19 DOI: 10.1109/ICIT.2012.6209969

P. Pistofidis, C. Emmanouilidis, C. Koulamas, D. Karampatzakis, N. Papathanassiou

引用次数: 24

Effect of redundant sub-module utilization on modular multilevel converters 冗余子模块利用对模块化多电平变换器的影响

2012 IEEE International Conference on Industrial Technology Pub Date : 2012-03-19 DOI: 10.1109/ICIT.2012.6210039

G. Konstantinou, M. Ciobotaru, V. Agelidis

引用次数: 44

Comparison of robust control laws for a DC/DC ladder multilevel converter DC/DC梯形多电平变换器鲁棒控制律的比较

2012 IEEE International Conference on Industrial Technology Pub Date : 2012-03-19 DOI: 10.1109/ICIT.2012.6210009

A. López, D. Patiño, R. Díez, G. Perilla

引用次数: 6

A laboratory system to produce a highly accurate and uniform magnetic field for sensor calibration 一种实验室系统，用于产生高度精确和均匀的磁场，用于传感器校准

2012 IEEE International Conference on Industrial Technology Pub Date : 2012-03-19 DOI: 10.1109/ICIT.2012.6210073

G. Mirzaeva, T. Summers, R. Betz

{"title":"A laboratory system to produce a highly accurate and uniform magnetic field for sensor calibration","authors":"G. Mirzaeva, T. Summers, R. Betz","doi":"10.1109/ICIT.2012.6210073","DOIUrl":"https://doi.org/10.1109/ICIT.2012.6210073","url":null,"abstract":"This paper addresses one particular issue that the authors came across when developing a DC Motor Duty Meter - a comprehensive condition monitoring tool for large DC motors based on flux density measurement inside the motor air gap. This particular issue crucial for the project was how to calibrate, with high accuracy, a large number of flux density sensors to be used to measure the flux density distribution along the surface of the motor poles. From available literature and IEEE standards, the recommended and most common way to generate a calibration magnetic field is based on Helmholtz coil principle, which in practice is limited to small flux density magnitudes. A method used by the authors and described in this paper utilizes a step test and simple calculations based on Faraday's Law. The novelty of the described method is in particularities of the system, measurements and calculations, which make the method highly immune to typical sources of errors. The method can be used to produce a very accurate and uniform magnetic field with densities ranging from fractions of Tesla to above one Tesla to calibrate flux sensors in this flux range. Its accuracy is only limited by that of a current source, a current probe and a digital oscilloscope. Uniformity of the generated field is discussed and experimentally confirmed. Experimental results obtained within the DC Motor Duty Meter project are included to illustrate correctness of the sensor calibration. Conditions that guarantee the maximum efficiency of the method are discussed. The paper is concluded by a step by step calibration procedure that other researchers may find useful.","PeriodicalId":365141,"journal":{"name":"2012 IEEE International Conference on Industrial Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129082731","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: 17

Test generation for large automotive models 大型汽车模型的测试生成

2012 IEEE International Conference on Industrial Technology Pub Date : 2012-03-19 DOI: 10.1109/ICIT.2012.6210014

R. Venkatesh, U. Shrotri, P. Darke, P. Bokil

{"title":"Test generation for large automotive models","authors":"R. Venkatesh, U. Shrotri, P. Darke, P. Bokil","doi":"10.1109/ICIT.2012.6210014","DOIUrl":"https://doi.org/10.1109/ICIT.2012.6210014","url":null,"abstract":"Modeling tools such as Statemate, Simulink and Stateflow are widely used in the automotive industry to specify low level requirements and design. Systematic testing of models to achieve structural coverage such as state coverage, transition coverage or modified condition decision coverage (MCDC) helps in early defect detection. Automatic generation of test data can help in reducing the cost and improving the quality of systematic testing. Test data can be automatically generated either 1) directly from the models or 2) from the code generated from these models. In this paper we argue for and recommend the second approach. We propose generating test data from C, a formalism-independent intermediate language, as it is widely used in the embedded domain and most modeling tools have C code generators. Accurate representation of floating point number type is possible in C (that being the representation in the final executable) and there are various analysis tools that are available for C. A major challenge in using code to generate test data is scalability. To overcome this problem, we built a tool that combines available static slicing and model-checking techniques to generate test data. We conducted experiments to check if this tool can generate test data for large complex models from the automotive domain. To demonstrate formalism independence and scalability we chose industry size Statemate as well as Simulink/Stateflow models. The set up and the findings of these experiments are also presented in this paper. We successfully generated test data for code sizes as large as 50KLOC and detected several bugs in four already tested industry models thus proving the benefits of this approach.","PeriodicalId":365141,"journal":{"name":"2012 IEEE International Conference on Industrial Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128731150","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: 18

Electrothermal analysis of overhead power lines 架空电力线路的电热分析

2012 IEEE International Conference on Industrial Technology Pub Date : 2012-03-19 DOI: 10.1109/ICIT.2012.6209984

A. Papagiannakis, V. Chatziathanasiou, I. Papagiannopoulos, G. Demey, B. Więcek

引用次数: 3

Connectivity-aware coordination of robotic networks for area coverage optimization 面向区域覆盖优化的机器人网络连通性感知协调

2012 IEEE International Conference on Industrial Technology Pub Date : 2012-03-19 DOI: 10.1109/ICIT.2012.6209909

Y. Stergiopoulos, Y. Kantaros, A. Tzes

引用次数: 12

Integrated design of a smart analog sun sensor with CMOS technology 基于CMOS技术的智能模拟太阳敏感器集成设计

2012 IEEE International Conference on Industrial Technology Pub Date : 2012-03-19 DOI: 10.1109/ICIT.2012.6209935

F. J. Delgado, J. Garcia, C. L. Tarrida, J. Quero, P. Ortega, L. Terés, F. Serra-Graells, E. Cabruja

引用次数: 1