Industrial diagnostic systems aim at anticipating the occurrence of failures or, should failures have occurred, at detecting them and identifying their cause. Similar to a processcontrol system, a diagnostic system i...
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In order to fulfill the Mexican Electric Utility's (CFE) modernization demands, the Electrical Research Institute (IIE) developed at the process Super Vision Department an improved Human Machine Interface (HMI) mo...
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In order to fulfill the Mexican Electric Utility's (CFE) modernization demands, the Electrical Research Institute (IIE) developed at the process Super Vision Department an improved Human Machine Interface (HMI) modernization for a Combined Cycle Power Plant (CCPP) to replace the old one based on VAX workstations with a microcomputer base system using personal computers(pc), maintaining the same functionali1y and integrating management capabilities as well as processing functions currently performed by a proprietary system. The HMI modernization provided to CFE an integral solution through a single interface allowing the system tointerface not only to current proprietary controllers but also to commercial controllers, PLCs or other Intelligent Electronic Device by integrating opc technology. Data analysis is possible in the improved HMI due to a powerful database back-end engine added to the system. Integrating new technology to legacy systems in order to preserve its life span and be able to integrate modem devices represented a challenge to be resolved. This paperalsodescribes how suitable these new technologies promises were accomplished in the IHM modernization. Improvements to the HMI also included an intuitive color-base navigation in a multi-level model. Improvements in communications involved the replacement of the current PC-based communication concentrators with a pair of high performance servers to improve the overall system flexibility and robustness. Among the more challenging tasks was the integration of a modem commercial redundancy system to work with current proprietary controllers.
To enhance strip thickness accuracy and to improve the mass flow of the head end part of a strip in the 7-stand finishing mill using a hot strip measurement system, this study is being performed. In this paper, the sp...
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To enhance strip thickness accuracy and to improve the mass flow of the head end part of a strip in the 7-stand finishing mill using a hot strip measurement system, this study is being performed. In this paper, the speed measurement system layout and the applications of measured strip speed incluing a neural network for predicting a forward slip and a feed forward automatic control(FF AGC) are given.
In this paper a step-by-step procedure for carrying out synthesis of geometric tolerances of a planetary gearbox using a deviation-based tolerance synthesis (TS) scheme has been presented. The TS scheme uses an optimi...
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In this paper a step-by-step procedure for carrying out synthesis of geometric tolerances of a planetary gearbox using a deviation-based tolerance synthesis (TS) scheme has been presented. The TS scheme uses an optimization for minimizing total cost of manufacturing, subject to constraints for assemblability of parts and constraints for functional requirements. The TS work is carried out in several stages. First the gearbox with its nominal dimensions is converted into a model that could serve as input to the synthesis module. Cost functions and constraints equations are then generated using deviation parameters of features. The optimization is carried out using these equations in standard non-linear minimization tools (Matlab) and the optimal deviation parameters are subsequently mapped into suitable tolerance specifications or tolerance zones as per ANSI Y14.5 tolerancing standards.
This paper presents an approach to calculate prefilters that are insensitive to parameter deviations. The cost function chosen for this approach is the magnitude of the time-delay filter transfer function. By approxim...
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This paper presents an approach to calculate prefilters that are insensitive to parameter deviations. The cost function chosen for this approach is the magnitude of the time-delay filter transfer function. By approximating the cost function with a polynomial, the effort of calculating minimax robust profiles can be reduced. The resulting control profiles yield a performance similar to the minimax robust controller. This is verified by the numerical results included in this paper.
Measurement error due to sensor degradation (fouling, miscalibration, etc.) is more difficult to identify compared to catastrophic sensor failure. Passive methods previously proposed for sensor-level monitoring are ba...
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Measurement error due to sensor degradation (fouling, miscalibration, etc.) is more difficult to identify compared to catastrophic sensor failure. Passive methods previously proposed for sensor-level monitoring are based on power spectrum or multiscale analysis of sensor data. These methods have limitations caused by not accounting for various noise sources and assumptions about sensor noise characteristics, thus resulting in false and missed alarms. In this paper, an online sensor fault detection scheme based on the identification of sensor response characteristics is proposed and evaluated. We develop both robust passive and active in situ techniques to identify sensor response characteristics that relate directly to its health. Using the identified sensor model, various kinds of sensor faults are quantified and mapped into the model parameters. A dynamic model-based estimator is proposed for data reconciliation. These ideas were experimentally validated using thermocouples, flowmeters, and resistance thermometric devices on laboratory-scale processes. The proposed approach was seen to accurately quantify the sensor model parameters and aid in measurement reconstruction.
Industrial diagnostic systems aim at anticipating the occurrence of failures or, should failures have occurred, at detecting them and identifying their cause. Similar to a processcontrol system, a diagnostic system i...
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Industrial diagnostic systems aim at anticipating the occurrence of failures or, should failures have occurred, at detecting them and identifying their cause. Similar to a processcontrol system, a diagnostic system is closely connected with a specific industrial application. In case of large and complex industrial systems, such intimate link translates into the need to satisfy requirements for modularity, flexibility, and adaptability. This paper introduces a multi-agent software architecture as a possible solution to better tackle the variety of problems connected with building diagnostic systems, based at the requirements connected with modem industrial applications.
Multi-agent systems (MAS) offer new perspectives compared to conventional, centrally organized architectures in the scope of supply chain management (SCM). Their structure inherently meets the requirements of decentra...
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Multi-agent systems (MAS) offer new perspectives compared to conventional, centrally organized architectures in the scope of supply chain management (SCM). Their structure inherently meets the requirements of decentralized supply chains, whereas conventional SCM systems are often restricted in terms of dynamic behavior, handling severe disturbances at supplier sites as well as dealing with highly customized or complex products. Since necessary data are not available within the whole supply chain, an integrated approach for production planning and control taking into account all the partners involved is not feasible. In this paper, a MAS architecture integrating various intelligent agent systems is presented to address the problem.
In this contribution one of the concepts of the European Commission research project MAGIC is introduced. Focus is placed on the strategy of choosing diagnostic methods in relation with the characteristics of the indu...
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In this contribution one of the concepts of the European Commission research project MAGIC is introduced. Focus is placed on the strategy of choosing diagnostic methods in relation with the characteristics of the indu...
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In this contribution one of the concepts of the European Commission research project MAGIC is introduced. Focus is placed on the strategy of choosing diagnostic methods in relation with the characteristics of the industrial process being diagnosed. Normally, only a single diagnostic method is applied for each process or subprocess. The MAGIC project aims at different diagnostic methods to set-up a distributed diagnostic system, and at making the proper choice with respect to the industrial process. The present contribution suggests an approach to the stated problem.
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