Catálogo de publicaciones - libros

Relying on Computer Supported Collaborative Work (CSCW) technology, expert system (ES) can extend its capabilities from only one working to set up a cooperative labor environment for a group of expert systems working together. In order to more effectively support those remote substations fault diagnosis as well as related departments involvements. Web-based CSCW systems are intensively recommended. The paper for that proposes a framework of CSCW system with Web-based for remote substation fault diagnosis. The system applies Multi-Agent (MA) technology to construct distributed expert systems platform, and presents the collaboration and communication framework of the platform using J21EE. The system is applied in remote substation fault diagnosis, and is proved very effective.

This paper presents an agent-based service-oriented framework to address the challenges for integrating real time shop floor scheduling and control in a multi-workcell environment. The proposed framework enables shop floor to adapt to the changes in the environment dynamically. Shop floor scheduling and control can address dynamic changes either within a workcell, such as machine breakdowns, or cooperatively amongst multiple workcells, for example to delegate a task that cannot be performed locally or to improve the performance of the workcell. A software simulation environment has been implemented to validate the proposed approach.

This work discusses important aspects in the computational representation of models, focusing on the treatment of the heterogeneity and the integration of models. The relevance of this topic lies in the necessity of achieving an efficient workflow when handling heterogeneous information structures and of giving proper answer to the involvement of new types of models driven by the increasing demand for enhanced information handling capabilities in the planning and the control of production systems.

This paper proposes an adapted diagnoser for manufacturing systems. This diagnoser combines event and state based models to infer the fault’s occurrence using event sequences and state conditions characterized by sensor’s readings and commands issued by the controller. Furthermore, this diagnoser uses expectation functions to capture the inherent temporal dynamics of the system represented by time delays between correlated events.

The main purpose of this paper is to introduce some new non-conventional applications to allow the exploitation of today’s mobile phone resources, namely their connectivity capabilities to other devices. There is a great potential for applications to take advantage of these available resources, to perceive and interact with the world around us, namely to serve as a user interface to interact with controlled devices. Recently beyond the necessary speaker and microphone, cell phones incorporate more sensing, processing and storage capabilities as well as alternative communication system, e.g. digital camera, Bluetooth. This paper addresses, in particular, the Near Field Communication (NFC) incorporated in cell phones and enumerates some of its main promising applications like in device monitoring and control.

This paper presents the concept of integrated knowledge-based and simulation- based supervisory control for process facilities. Linked to a common SCADA system, such knowledge-based decision procedure, which includes process simulation, assists the operator and facility engineer in operating the facility. The functional chain, which begis with operator knowledge acquisition and moves to knowledge and facility modeling and finally to their integration into a real SCADA system, have been implemented and tested for a water treatment and supply plant.

The rotor system of the small power unit used in ball pen tip production machine, is discussed in detail. Meanwhile, nonlinear model of the rotor system is established and the related research method is introduced. Furthermore, the stability bifurcation of nonlinear periodic solution is obtained preliminarily Characteristic comparisons between pseudo-periodic solution and chaotic one are put forward in the paper, which will be of benefit to further engineering applications.

A new concept referred to as the batch roundness is presented in this paper. This concept is derived to illustrate the worst possible form error for a batch of circular features machined under the same conditions. It is to be used as a statistical quality measure for such a batch of circular features and evaluated by analyzing their systematic and random form error components. The definition of batch roundness is introduced first and the associated evaluation algorithm is then presented. The evaluation algorithm starts by characterizing the deterministic profile for the batch of circular features. When the deterministic profile is obtained, the residuals, which are regarded as the random form error component are available. The batch roundness can then be evaluated and the corresponding confidence level of the batch roundness zone determined. Case studies using both the simulated and experimental data sets have successfully demonstrated that the batch roundness can be reliably estimated from the inspection data of only one circular feature in the batch. This unique feature of the presented algorithm will hold as long as the measurement data size is adequate and the relative magnitude of the random form error component with respect to the batch roundness is not too large.

A point cloud data set, a set of massive and dense coordinate data points sampled from the surface of a physical object is emerging as a new representation format of 3D shapes. This is mostly attributed to recent advances in the range finding technology of high-speed 3D laser scanning. A typical laser scanned data set often contains millions of data points and this leads to significant computational challenges in processing the point cloud data for practical applications such as the high-speed laser inspection of mechanical parts. To reduce the number of the massive data points to facilitate geometric computation, this paper presents a simplification algorithm for the laser scanned point cloud data from manufactured mechanical parts, whose boundary surfaces include sharp edges. Due to the distinct feature represented by the points located on or near the sharp edges, these points are first identified and retained. The algorithm then repeatedly removes the least important point from the remaining data points until the specified data reduction ratio is reached. Quantification of a point’s importance is based on points in its neighborhood and it indicates the point’s contribution to the representation Of the local surface geometry. The effectiveness of the proposed algorithm is shown through the simplification results of two practical point cloud data sets.

This paper presents a set of special requirements to development of intelligent building control software. It includes the degeneration technique (gradual reduction of the building service level). The method involves an organized activities sequence that results in artifacts such as models and control software specifications. These specifications assure the desired dynamic behavior of system and also include degeneration features. It also presents a specific example related with the control in Intelligent Building which has been adopted as case study and illustrates the application of the proposed method.