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IEEE International Conference on Industrial Technology (ICIT)

作者： Chao-Chung Peng Yu-Te Su Department of Aeronautics and Astronautics National Cheng Kung University Tainan Taiwan Automation & Instrumentation System Development Section China Steel Corporation Kaohsiung Taiwan

ISBN: (纸本)9781467380768

In this paper, control of a servo drive subject to both mechanical and electrical perturbations is addressed. Due to the existence of the external perturbations, it will be shown that the control system turns into a system with mismatched disturbances. Under this circumstance, tracking performance would be limited by the size external disturbances. To solve this problem, a synthetic control strategy including a robust nonlinear PI(proportional integral)-type controller and a sliding controller is developed. The corresponding control parameters are determined through a formulation of linear matrix inequalities (LMIs). Simulations show that asymptotic tracking performance can be guaranteed even in the presence of both mechanical and electrical external perturbations.

关键词： Servomotors Uncertainty Robustness Aerodynamics Interconnected systems Motor drives

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Integration of an unmanned vehicle and its application to real-time gas detection and monitoring

Integration of an unmanned vehicle and its application to re...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chao-Chung Peng Chao-Yung Hsu Automation & Instrumentation System Development Section China Steel Corporation Kaohsiung Taiwan

ISBN: (纸本)9781479987467

A real-time aerial gas detection and monitoring system is developed for air quality control in China Steel Corporation (CSC). A gas detection module is integrated with an quadrotor and the collected gas information is going to be delivered to a ground station through wireless communication. According to the measurement data, real-time and post analyses will be applied and the results could also be passed to product line for references and other applications. Moreover, image process technology is also integrated into the flight system such that a selected target could be detected automatically during the flight task. Finally, experiments are presented to demonstrate the main concept of the prototype system.

关键词： Monitoring Real-time systems Vehicles Embedded systems Steel Sensors

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A modified NARMAX model-based self-tuner with fault tolerance for unknown nonlinear stochastic hybrid systems with an input-output direct feed-through term

A modified NARMAX model-based self-tuner with fault toleranc...

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作者： Tsai, Jason S.-H. Hsu, Wen-Teng Lin, Long-Guei Guo, Shu-Mei Tann, Joseph W. Department of Electrical Engineering National Cheng-Kung University Tainan 701 Taiwan Department of Computer Science and Information Engineering National Cheng-Kung University Tainan 701 Taiwan Automation and Instrumentation System Development Section Steel Iron Research and Development Department Kaohsiung 81233 Taiwan

A modified nonlinear autoregressive moving average with exogenous inputs (NARMAX) model-based state-space self-tuner with fault tolerance is proposed in this paper for the unknown nonlinear stochastic hybrid system with a direct transmission matrix from input to output. Through the off-line observer/Kalman filter identification method, one has a good initial guess of modified NARMAX model to reduce the on-line system identification process time. Then, based on the modified NARMAX-based system identification, a corresponding adaptive digital control scheme is presented for the unknown continuous-time nonlinear system, with an input-output direct transmission term, which also has measurement and system noises and inaccessible system states. Besides, an effective state space self-turner with fault tolerance scheme is presented for the unknown multivariable stochastic system. A quantitative criterion is suggested by comparing the innovation process error estimated by the Kalman filter estimation algorithm, so that a weighting matrix resetting technique by adjusting and resetting the covariance matrices of parameter estimate obtained by the Kalman filter estimation algorithm is utilized to achieve the parameter estimation for faulty system recovery. Consequently, the proposed method can effectively cope with partially abrupt and/or gradual system faults and input failures by the fault detection. © 2013 ISA.

关键词： Stochastic systems

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Automated Fault Classification of Reciprocating Compressors from Vibration Data: A Case Study on Optimization Using Genetic Algorithm

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Procedia Engineering 2014年 79卷 355-361页

作者： Yih-Hwang Lin Wen-Sheng Lee Chung-Yung Wu Department of Mechanical and Mechatronic Engineering National Taiwan Ocean University Keelung 20224 Taiwan ROC Present affiliation: ME Section DD LOB Power SBG Development LITE-ON Technology Corp. Taoyuan County 33754 Taiwan ROC Automation and Instrumentation System Development Section Iron and Steel R&D Department China Steel Corporation Kaohsiung 81233 Taiwan ROC

This article deals with automated fault classification of reciprocating compressors from vibration data. The genetic algorithm was applied to automate the process. A total of 15 fault cases based on practical observation of the machine faults was considered. Vibration data for the various fault cases were collected and processed using the time-frequency analysis, namely the short time Fourier transform (STFT), the smoothed pseudo Wigner-Ville distribution (SPWVD), and the reassigned smoothed pseudo Wigner-Ville distribution (RSPWVD), due to the non-stationary vibration characteristics of the system analyzed. The fault features for the formidable amount of time-frequency data were extracted first and fed into an artificial neural network for fault classification. It is demonstrated in this work that it is feasible to apply the genetic algorithm to automate the fault classification process and thereby minimize the requirement for intervention from the human experts.

关键词： Fault Classification Reciprocating Compressor Genetic Algorithm

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Automatic inspection system for billet

Automatic inspection system for billet

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2011 2nd IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011

作者： Chuang, Bo-I Hsu, Wen-Cheng Chen, Chung-Mei Hor, Chiou-Yi Sun, Yung-Nien Department of Computer Science and Information Engineering National Cheng Kung University No.1 University Road Tainan City 701 Taiwan Automation and Instrumentation System Development Section China Steel Corporation No.1 Chung Kang Road Hsiao Kang Kaohsiung 81233 Taiwan

ISBN: (纸本)9781457702419

In billet production, the quality of billet is an important issue to assure. In this study, we proposed an automatic inspection system to locate and classify defects for billet. The proposed system is consisted of three modules: (1) image processing and defect location, (2) feature extraction and selection, (3) incremental learning classifier. In the first module, the region of interest is extracted and normalized to reduce the effects of uneven illumination. We then develop two methods to detect different types of defects based on their characteristics. In the second module, k-nearest neighbor classifier and tabu search are employed to select the best set of features for classification. In the last module, a classifier with incremental learning capability called Learn is used to classify the detected defects. Experiments show that the proposed system provides defect detection with good accuracy and speed. Comparing with the conventional BPN, the Learn++ classifier is much more efficient in training and obtains better classification rates. © 2011 IEEE.

关键词： Defects

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development of laser and microwave scanning technologies in the blast furnace burden profile and lining condition measurement at CSC

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Baosteel Technical Research 2010年第S1期4卷 13-页

作者： KUO Shihkang Automation & Instrumentation System Development Section Ironmaking & Steelmaking R & D Department China Steel CorporationKaoshiungTaiwanChina

In order to stabilise the operation of the blast furnace and to raise its operation efficiency,research works for the application of microwave and laser scanning technologies to the measurement have been intensively carried out at China Steel Corporation(CSC).To monitor the burden profile during the operation,a microwave burden profile measuring system was *** system consists of a radar unit,a signal processing system, and a driving device which is capable of rotating the radar to scan the burden surface in a specified direction.A nitrogen cooling system was designed to protect the measurement system.A prototype burden profile meter was successfully tested in No.1 blast furnace in 2008,and a permanent one was installed at No.3 blast *** system has provided useful information for adjusting the charging sequence in No.3 blast *** another application,3 - D laser scanning technology is employed to monitor the blast furnace lining *** this end,a data registration method has been developed,through which two measured range images sensed at different period and locations can be fitted into the same coordinate *** practice,the erosion of the blast furnace lining can be estimated when the current inner profile is compared with that taken before the blow-in operation. This technology is also adopted to evaluate the performance of gunning operation in the blast furnaces at CSC.

关键词： blast furnace measurement laser scanning micro wave burden profile meter

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Automated valve condition classification of a reciprocating compressor with seeded faults: Experimentation and validation of classification strategy

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Smart Materials and Structures 2009年第9期18卷 095020-19页

作者： Lin, Yih-Hwang Liu, Huai-Sheng Wu, Chung-Yung Department of Mechanical and Mechatronic Engineering National Taiwan Ocean University Keelung 20224 Taiwan Automation and Instrumentation System Development Section Steel and Aluminum RandD Department China Steel Corporation Kaohsiung 81233 Taiwan Co. Ltd. Taipei County 23553 Taiwan

This paper deals with automatic valve condition classification of a reciprocating processor with seeded faults. The seeded faults are considered based on observation of valve faults in practice. They include the misplacement of valve and spring plates, incorrect tightness of the bolts for valve cover or valve seat, softening of the spring plate, and cracked or broken spring plate or valve plate. The seeded faults represent various stages of machine health condition and it is crucial to be able to correctly classify the conditions so that preventative maintenance can be performed before catastrophic breakdown of the compressor occurs. Considering the non-stationary characteristics of the system, time-frequency analysis techniques are applied to obtain the vibration spectrum as time develops. A data reduction algorithm is subsequently employed to extract the fault features from the formidable amount of time-frequency data and finally the probabilistic neural network is utilized to automate the classification process without the intervention of human experts. This study shows that the use of modification indices, as opposed to the original indices, greatly reduces the classification error, from about 80% down to about 20% misclassification for the 15 fault cases. Correct condition classification can be further enhanced if the use of similar fault cases is avoided. It is shown that 6.67% classification error is achievable when using the short-time Fourier transform and the mean variation method for the case of seven seeded faults with 10 training samples used. A stunning 100% correct classification can even be realized when the neural network is well trained with 30 training samples being used. © 2009 IOP Publishing Ltd.

关键词： Neural networks

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The development of laser-based slab shape measuring system

SEAISI Quarterly (South East Asia Iron and Steel Institute)

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SEAISI Quarterly (South East Asia Iron and Steel Institute) 2007年第1期36卷 63-67页

作者： Hor, Chiou-Yi Li, Wen-Chien Yang, Yung-Yi Kuo, Shin-Kang Liu, Jung-Chang Automation and Instrumentation System Development Section Steel and Aluminum R and D Dept. China Steel Corporation Taiwan Automation and Instrumentation System Development Section Steel and Aluminum R and D Dept. China Steel Corporation Quality Assurance Section-Steelmaking Metallurgical Dept. China Steel Corp.

An optical slab shape measuring system was developed for measuring slab shape parameters, such as width, thickness, bulge and camber. The system consists of two side-figure measuring modules. Each module consists of a structured laser and two-dimensional CCD camera. In order to exclude the severe background light, the system uses a band-pass filter, with its central wavelength corresponding to the laser source. During inspection, the system utilizes the mapping function technique to transform image coordinates to those in the real world. Each module calculates its corresponding side figure, like thickness and bulge. By integrating coordinates of both modules, the shape parameters, width and wedge are obtained. The quantity of camber is obtained by calculating the deflection from the whole sequence of side figure. Besides, inspection results can be delivered to the process computer via industrial network. This facilitates process analysis and feedback.

关键词： Units of measurement

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