One of the most critical issues in the engineering of multi-agent systems ( MAS) is the inadequacy of the available tools for MAS development and deployment. As we assume interaction as a first-class issue in MAS, too...
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One of the most critical issues in the engineering of multi-agent systems ( MAS) is the inadequacy of the available tools for MAS development and deployment. As we assume interaction as a first-class issue in MAS, tools are particularly required to monitor and debug inter-agents aspects, such as interaction protocols, coordination policies, social norms, and environment constraints. Since we claim that the definition of such tools is a basic research issue, in this paper we aim to identify the main requirements for development and deployment tools within an effective agent infrastructure. Focusing on agent interaction aspects, we take tuple-based coordination infrastructures - in particular the TuCSoN technology and tools - as our reference, and discuss the role of tools in a simple case study: the development and deployment of a well-known agent interaction protocol, the Contract Net.
We explored an adaptive maintenance model of the process environment to diagnose progressive faults in manufacturing systems. Progressive faults are usually caused by deterioration of the operating environment or agin...
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We explored an adaptive maintenance model of the process environment to diagnose progressive faults in manufacturing systems. Progressive faults are usually caused by deterioration of the operating environment or aging and show stochastic properties. Many researchers have reported how to detect faults on the machine body in manufacturing systems. However, little research has been conducted on the process environment which causes progressive faults. To tackle this problem, we explored an adaptive maintenance model to detect progressive faults and repair the process environment on the E-repair location. When a difference of the environmental factor state is detected, it will combine the transcription factor and the state enzyme to locate fault source. Then the comprehensive maintenance program is derived to repair the operating environment while eliminating progressive faults. For the purpose of validation, this model was implemented on the process environment of the air separation plant. And the simulation experiments validated the feasibility and effectiveness of this method.
As the photovoltaic system consists of many equipment components, manual inspection will be very costly. This study proposes the photovoltaic system fault diagnosis based on chaotic signal synchronization. First, MATL...
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As the photovoltaic system consists of many equipment components, manual inspection will be very costly. This study proposes the photovoltaic system fault diagnosis based on chaotic signal synchronization. First, MATLAB was used to simulate the fault conditions of solar system, and the maximum power point tracking (MPPT) was used to ensure the system's stable power and capture and record the system fault feature signals. The dynamic errors of various fault signals were extracted by chaotic signal synchronization, and the dynamic error data of various fault signals were recorded completely. In the photovoltaic system, the captured output voltage signal was used as the characteristic values for fault recognition, and the extension theory was used to create the joint domain and classical domain of various fault conditions according to the collected feature data. The matter-element model of extension engineering was constructed. Finally, the whole fault diagnosis system is only needed to capture the voltage signal of the solar photovoltaic system, so as to know the exact fault condition effectively and rapidly. The proposed fault diagnostor can be implemented by embedded system and be combined with ZigBee wireless network module in the future, thus reducing labor cost and building a complete portable renewable energy system fault diagnostor.
Vibration signals resulting from railway rolling bearings are nonstationary by nature;this paper proposes a hybrid approach for the fault diagnosis of railway rolling bearings using segment threshold wavelet denoising...
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Vibration signals resulting from railway rolling bearings are nonstationary by nature;this paper proposes a hybrid approach for the fault diagnosis of railway rolling bearings using segment threshold wavelet denoising (STWD), empirical mode decomposition (EMD), genetic algorithm (GA), and least squares support vector machine (LSSVM). The original signal is first denoised using STWD as a prefilter, which improves the subsequent decomposition into a number of intrinsic mode functions (IMFs) using EMD. Secondly, the IMF energy-torques are extracted as feature parameters. Concurrently, a GA is employed to optimize the LSSVM to improve the classification accuracy. Finally, the extracted features are used as inputs for classification by the GA-LSSVM. Actual railway rolling bearing vibration signals are used to experimentally verify the effectiveness of the proposed method. The results show that the novel method is effective and accurate for fault diagnosis of railway rolling bearings.
This paper studies the configurations of fault-tolerant controllers for affine nonlinear systems. The design philosophy is highlighted by the observer and residual generator based controller parametrization and the in...
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This paper studies the configurations of fault-tolerant controllers for affine nonlinear systems. The design philosophy is highlighted by the observer and residual generator based controller parametrization and the integration of a fault diagnosis system. To be specific, a novel interpretation for the design of fault-tolerant controllers is first introduced with the combination of any stabilizing controller and a residual-driven dynamic compensator. It allows us to attain the separate design of system stability performance and fault tolerance. Under such circumstances, the whole design procedures finally realize the maintenance and life-circle management of affine nonlinear systems. In the end, a design scheme of the fault-tolerant control framework is proposed. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
In this article authors describe an approach to fostering debugging communities on the World-Wide Web, that will enable programmers to collaboratively debug programs synchronously and asynchronously. Over the past cou...
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In this article authors describe an approach to fostering debugging communities on the World-Wide Web, that will enable programmers to collaboratively debug programs synchronously and asynchronously. Over the past couple of years, a significant number of communities have benefited by interacting through the net using newsgroups and Webpages. To describe a bug, programmer needs to describe the code, the point in the execution where the symptom occurs, and the context. The article aims to make it easy for programmers to swap bug descriptions around the world. Therefore, system should be platform independent, run on relatively modest hardware, and should not require exchange of source code. Internet Software Visualization Laboratory (ISVL) is an approach to solving bug-description-sharing problem, which uses a client/server architecture to deliver visualizations any Java-enabled Web browser. Using a Java-enabled Web browser, programmers can connect to the ISVL client. Using the client, programmers can upload and run their programs on the server and receive back a visualization.
An approach was developed to estimate the values of diagnosability of digital systems with the novel structure of the minimal quasicomplete 7 x 7 graph. The proposed estimates of the values of diagnosability of the di...
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An approach was developed to estimate the values of diagnosability of digital systems with the novel structure of the minimal quasicomplete 7 x 7 graph. The proposed estimates of the values of diagnosability of the digital systems under consideration were established as the result of diagnosis of fault situations in a system of 7 users and 7 switches. Consideration was given to two variants of organization of the components of the analyzed digital system for which different estimates of diagnosability were established.
Fault prediction is an effective and important approach to improve the reliability and reduce the risk of accidents for complex electromechanical systems. In order to use the quantitative information and qualitative k...
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Fault prediction is an effective and important approach to improve the reliability and reduce the risk of accidents for complex electromechanical systems. In order to use the quantitative information and qualitative knowledge efficiently to predict the fault, a new model is proposed on the basis of belief rule base (BRB). Moreover, an evidential reasoning (ER) based optimal algorithm is developed to train the fault prediction model. The screw failure in computer numerical control (CNC) milling machine servo system is taken as an example and the fault prediction results show that the proposed method can predict the behavior of the system accurately with combining qualitative knowledge and some quantitative information.
A robust fault diagnosis and fault-tolerant control (FTC) system for uncertain robot manipulators without joint velocity measurement is presented. The actuator faults and robot manipulator component faults are conside...
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A robust fault diagnosis and fault-tolerant control (FTC) system for uncertain robot manipulators without joint velocity measurement is presented. The actuator faults and robot manipulator component faults are considered. The proposed scheme is designed via an active fault-tolerant control strategy by combining a fault diagnosis scheme based on a super-twisting third-order sliding mode (STW-TOSM) observer with a robust super-twisting second-order sliding mode (STW-SOSM) controller. Compared to the existing FTC methods, the proposed FTC method can accommodate not only faults but also uncertainties, and it does not require a velocity measurement. In addition, because the proposed scheme is designed based on the high-order sliding mode (HOSM) observer/controller strategy, it exhibits fast convergence, high accuracy, and less chattering. Finally, computer simulation results for a PUMA560 robot are obtained to verify the effectiveness of the proposed strategy.
Equipping processors with programmable hardware to patch design errors lets manufacturers release regular hardware patches, avoiding costly chip recalls and potentially speeding time to market. For each error detected...
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Equipping processors with programmable hardware to patch design errors lets manufacturers release regular hardware patches, avoiding costly chip recalls and potentially speeding time to market. For each error detected, the manufacturer creates a fingerprint, which the customer uses to program the hardware. The hardware watches for error conditions;when they arise, it takes action to avoid the error.
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