An expert system for diagnosis of electronic equipment using structural model and trouble-shooting heuristics

2003 ◽  
Author(s):  
C.K. Ng ◽  
K.P. Chow
Keyword(s):  
Expert System ◽  
Structural Model ◽  
Electronic Equipment ◽  
Trouble Shooting

Implementing an expert system for fault diagnosis of electronic equipment

1995 ◽  
Vol 8 (3) ◽  
pp. 355-364 ◽  
Author(s):  
T. Satyanarayana ◽  
G. Subramanyam ◽  
K.V. Rama Rao
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Electronic Equipment

The Integrated Design of Fuzzy Collision-Avoidance and H∞-Autopilots on Ships

2002 ◽  
Vol 55 (1) ◽  
pp. 117-136 ◽  
Author(s):  
Cheng-Neng Hwang
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
State Space ◽  
Collision Avoidance ◽  
Integrated Design ◽  
Inference Engine ◽  
Electronic Equipment ◽  
Important Concern ◽  
Autopilot Systems ◽  
Control Methodology

Collision avoidance remains the most important concern for ships at sea. Despite the electronic equipment now fitted on ships to support the mariner, expert experience is still essential when a ship is in danger of colliding with the others. To include these experts' experiences to resolve the problems of collision, we have designed a fuzzy collision-avoidance expert system that includes a knowledge base to store facts and rules, an inference engine to simulate experts' decisions and a fuzzy interface device. Either a quartermaster or an autopilot system can then implement the avoidance action proposed in the research. To perform the task of collision-avoidance effectively, a robust autopilot system using the state space H∞ control methodology has been designed to steer a ship safely for various conditions at sea in performing course keeping, course-changing and route-tracking more robustly. The integration of fuzzy collision-avoidance and H∞autopilot systems is then proposed in this paper.

Fault Diagnosis Expert System for Special Electronic Equipment Based on the Fuzzy Neural Network

2012 ◽  
Vol 241-244 ◽  
pp. 401-404
Author(s):  
Xue Zhong Yin ◽  
Jie Gui Wang
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Expert System ◽  
Fuzzy Neural Network ◽  
Electronic System ◽  
Electronic Equipment ◽  
Diagnostic Model ◽  
Model Based ◽  
Proposed Model ◽  
Fuzzy Neural

In order to improve the efficiency and reliability of fault diagnosis for the special electronic equipment, an intelligent fault diagnostic model based on Fuzzy Neural Network (FNN) is proposed. Firstly, the fault diagnosis model based on the FNN Expert System (ES) is built. Secondly, the fault diagnosis expert system of the special electronic equipment based on this model is introduced. Finally, experiments show that the proposed model is correct and the FD system is effective. Moreover, the given method provides a new way of fault diagnosis for other modern electronic system.

scholarly journals Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils

2018 ◽  
Vol 51 ◽  
pp. 147-158
Author(s):  
Богдан Буяк ◽  
Іван Цідило ◽  
Володимир Репський ◽  
Віталій Лялюк
Keyword(s):  
Expert System ◽  
Structural Model ◽  
Factual Knowledge ◽  
Fuzzy Expert System ◽  
Subject Field ◽  
Neuro Fuzzy ◽  
Decision Making System ◽  
Stochastic Data ◽  
Definition Of ◽  
Selection Of

Buyak B.B., Tsidilo I.M., Repskiy V.Í. and Lyalyuk V.P. Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils. The article describes the problem of designing a neuro-fuzzy expert system of professional selection at the stages of conceptualization and formalization, which involves the definition of concepts, relationships and management mechanisms necessary to describe the solution of problems in the chosen subject field. The structural model of the decision making system for determining the professional selection of students for training in IT specialties is substantiated. Three subsystems are proposed as structural components for studying: psychological peculiarities, personal qualities, factual knowledge, abilities and skills of students. The quality of the system’s operation is determined by the use of various techniques for acquiring knowledge on the basis of which the knowledge base of the neuro-fuzzy system and the combination of the use of fuzzy and stochastic data will be formed.

Neural Network Expert System in the Application of the EMC Design

2015 ◽  
Vol 742 ◽  
pp. 355-359
Author(s):  
Ji Ling Tang ◽  
Nian Feng Li ◽  
Hong Liang Liu
Keyword(s):  
Neural Network ◽  
Expert System ◽  
Electromagnetic Interference ◽  
Optimization Design ◽  
Electromagnetic Coupling ◽  
Electronic Equipment ◽  
Inference Mechanism ◽  
The Common ◽  
Emc Design ◽  
Test Verification

According to the characteristics of the large equipment, electromagnetic interference, using neural network method is put forward a set of for large electronic equipment electromagnetic coupling and interference, the analysis of the expert system based on the large electronic equipment as analysis object, the common interference on the interference classification and coding, the BP neural network is constructed, using neural network, the inference mechanism of expert system for the optimization design, and test verification.

An image enhanced, knowledge based expert system for maintenance trouble shooting

1990 ◽  
Vol 15 (3) ◽  
pp. 187-202 ◽  
Author(s):  
David M. Miller ◽  
Joseph M. Mellichamp ◽  
Jiin Wang
Keyword(s):  
Expert System ◽  
Trouble Shooting ◽  
Knowledge Based

scholarly journals PERANCANGAN SISTEM INFORMASI PENCARIAN KERUSAKAN SEPEDA MOTOR SISTEM ELECTRONIC FUEL IGNATION (EFI)

2021 ◽  
Vol 1 (1) ◽  
pp. 40
Author(s):  
Muhammad Isnaini ◽  
Saut Matedius Situmorang
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Visual Basic ◽  
Software System ◽  
Raw Data ◽  
Problem Finding ◽  
Trouble Shooting ◽  
Motor Cycle

Have researched a sistym information about malfunction problems sitem search motor cycle which the device uses advanced methods of reasoning in expert systems . Troubelshooting on motor cycle generally used manually, by determining the symptoms theoretically derived from the experiences so that a technician and student / student often neglected problem finding time and accuracy in solving the problems of motor cycle with EFI sistem repair problems .The method used is the observation on trouble shooting to EFI sensor sistem and collect data from any symptoms of damage to television later in the evaluation of the raw data is entered into a database to an expert system by utilizing visual basic programming .The results will produce a search expert software system that can damage on EFI sensor sparepart can help the technicians and users of the motor cycle itself to recognize and deal damage that occurs EFI component sistem .

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