Knowledge Representation and Reasoning in a Real-Time Operational Control System: The Shipboard Piloting Expert System (SPES)

1992 ◽  
Vol 23 (6) ◽  
pp. 1277-1296 ◽  
Author(s):  
Martha Grabowski ◽  
Steve Sanborn
Keyword(s):  
Control System ◽  
Expert System ◽  
Knowledge Representation ◽  
Real Time ◽  
Knowledge Representation And Reasoning ◽  
Operational Control

Design of Fault Diagnosis Expert System of Transformer

2013 ◽  
Vol 291-294 ◽  
pp. 2557-2561
Author(s):  
Tao Sun ◽  
Hai Bo Liu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Representation ◽  
System Design ◽  
System Of Systems ◽  
Knowledge Representation And Reasoning ◽  
Design Knowledge ◽  
Systems Architecture ◽  
Fault Diagnosis System ◽  
Transformer Fault

The transformer fault diagnosis expert system design knowledge representation and reasoning mechanisms are the key issue. Characteristics of transformer fault diagnosis system based on human experts, learning on the basis of the human expert diagnosis of transformer faults, to build a transformer fault diagnosis expert system of systems architecture, knowledge representation and reasoning mechanisms for a more detailed analysis and discussion.

An Expert System Shell for Fault Diagnosis

Robotica ◽  
2001 ◽  
Vol 19 (6) ◽  
pp. 669-674 ◽  
Author(s):  
Jie Yang ◽  
Chenzhou Ye ◽  
Xiaoli Zhang
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Representation ◽  
Expert Systems ◽  
Knowledge Representation And Reasoning ◽  
Multiple Models ◽  
Object Model ◽  
Knowledge Models ◽  
Expert System Shell

Traditional expert systems for fault diagnosis have a bottleneck in knowledge acquisition, and have limitations in knowledge representation and reasoning. A new expert system shell for fault diagnosis is presented in this paper to develop multiple knowledge models (object model, rules, neural network, case-base and diagnose models) hierarchically based on multiple knowledge. The structure of the expert system shell and the knowledge representation of multiple models are described. Diagnostic algorithms are presented for automatic modeling and hierarchical reasoning. It will be shown that the expert system shell is very effective in building diagnostic expert systems.

The Design of Control System of Piston Pin Punching Recess Automatic Drilling Dedicated Machine Tool

2014 ◽  
Vol 651-653 ◽  
pp. 895-898
Author(s):  
Li Hua Wang ◽  
Xiao Qiang Wu
Keyword(s):  
Control System ◽  
Machine Tool ◽  
Real Time ◽  
Control Panel ◽  
Drilling Machine ◽  
Operational Control ◽  
Open Cnc ◽  
The Status ◽  
Machine Interface ◽  
Blanking Process

The piston pin punching recess automatic drilling machine tool, is a dedicated machine tool designed and manufactured to solve the possess of piston pin punching recess. This paper studies the design of the dedicated machine’s control system, which uses open CNC technology, hydraulic technology, PLC technology, electrical technology, and human-machine interface technology. The control system can achieve the automation of feeding and blanking process. Replace of control panel, adopting touch screen to achieve operational control, and monitor the status of real-time job on the machine.

scholarly journals Objects and Subjects of Operational Control at Industrial Enterprises

2021 ◽  
Vol 4 (519) ◽  
pp. 176-182
Author(s):  
O. M. Starenka ◽  
Keyword(s):  
Control System ◽  
Real Time ◽  
Enterprise Management ◽  
Actual State ◽  
Negative Consequences ◽  
Operational Control ◽  
Industrial Enterprises ◽  
Managerial Decisions ◽  
Business Operations ◽  
Operational Information

In modern conditions of management, operational control at Ukrainian industrial enterprises should be present at all levels of management. For the efficient functioning of the operational control system, it is necessary to clearly understand the essence of its objects and subjects. Therefore, the article analyzed and summarized the views of different scientists regarding the essence of these concepts. It is defined that the subject of operational control is a structural unit or employee which should provide information about the actual state of the controlled object in a short time, prevent the occurrence of violations in real time, eliminate negative consequences so that this does not affect the final result of the economic activity of the enterprise. The levels of subjects of operational control, which are allocated depending on the involvement in the process of operational control, are suggested as follows: minimum, medium, maximum. The application of the proposed order will facilitate the receipt of the necessary operational information in real time by all interested parties and increase the efficiency of operational control directly where business operations are carried out. The objects of operational control were specified taking into account the needs of the management system, their classification was closer defined on such grounds as types of objects, composition of objects. The need to consider the objects of the operational control system in the context of economic processes is substantiated. The use of the proposed approaches to objects and subjects of operational control will contribute to the proper distribution of responsibilities for carrying out control, improving the quality and reliability of information, efficiency of enterprise management as a basis for making managerial decisions.

scholarly journals Knowledge-based supervision and control of wastewater treatment plant: a real-time implementation

2000 ◽  
Vol 41 (12) ◽  
pp. 129-137 ◽  
Author(s):  
J. A. Baeza ◽  
E. C. Ferreira ◽  
J. Lafuente
Keyword(s):  
Wastewater Treatment ◽  
Control System ◽  
Expert System ◽  
Real Time ◽  
Pilot Plant ◽  
Control Level ◽  
Treatment Plant ◽  
Hardware Architecture ◽  
Development Environment ◽  
Knowledge Based

The hardware architecture and the software development of a real-time knowledge-based distributed control system for the supervision of a wastewater treatment pilot plant are presented. The operation scheme is based on an A2/O system (anaerobic, anoxic, oxic) and includes organic matter removal, nitrification/denitrification, and Enhanced Biological Phosphorous Removal (EBPR). The hardware architecture involves different supervision levels, including two autonomous process computers (plant control and analysers control) and a PLC. The software architecture includes a Knowledge-Based Expert System (KBES) as the top control system. The KBES has been developed in G2, an expert system development environment based on object-oriented structural design. This system is fed with data obtained from the plant monitoring (in-line, on-line and off-line data) and with actuation data of the lower control levels. Using this information, the KBES supervises the pilot plant in order to help with fault detection and plant maintenance, but also modifies setpoints and other variables of the local control level to adapt the system to the different influent conditions. The overall system has been implemented and validated at pilot scale.

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