scholarly journals Insulation Diagnosis of Rotating Machines for Elevators by an Expert System Based on Fuzzy Inference

1992 ◽  
Vol 112 (11) ◽  
pp. 931-937 ◽  
Author(s):  
Kiyoji Kaneko ◽  
Hirotsugu Ohshima ◽  
Naoya Yamada ◽  
Toshio Iigima
Keyword(s):  
Expert System ◽  
Fuzzy Inference ◽  
Rotating Machines

Emerging Application of Fuzzy Expert System in Medical Domain

2015 ◽  
pp. 1-20 ◽  
Author(s):  
A. V. Senthil Kumar ◽  
M. Kalpana
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Fuzzy Inference ◽  
Fuzzy Expert System ◽  
Inference Mechanism ◽  
Medical Practitioners ◽  
Fuzzy Operators ◽  
Decision Making Problem ◽  
Fuzzy Inference Mechanism

Fuzzy expert system is an artificial intelligence tool that helps to resolve the decision-making problem with the existence of uncertainty and plays an important role in medicine for symptomatic diagnostic remedies. In this chapter, construction of Fuzzy expert system is the focused, which helps to diagnosis disease. Fuzzy expert system is constructed by using the fuzzification to convert crisp values into fuzzy values. Fuzzy expert system consists of fuzzy inference, implication, and aggregation. The system contains a set of rules with fuzzy operators T-norm and of T-Conorm. By applying the fuzzy inference mechanism, diagnosis of disease becomes simple for medical practitioners and patients. Defuzzification method is adopted to convert the fuzzy values into crisp values. With crisp values, the knowledge regarding the disease is given to medical doctors and patients. Application of Fuzzy expert system to diagnosis of disease is mainly focused on in this chapter.

Expert System Based on Fuzzy Rules for Monitoring and Diagnosis of Operation Conditions in Rotating Machines

2014 ◽  
Vol 1061-1062 ◽  
pp. 950-960
Author(s):  
Rui Francisco Martins Marçal ◽  
Kazuo Hatakeyama ◽  
Dani Juliano Czelusniak
Keyword(s):  
Expert System ◽  
Detection Method ◽  
Fuzzy Rules ◽  
Spectral Signature ◽  
Linguistic Variables ◽  
Rotating Machines ◽  
Rotating System ◽  
Monitoring And Diagnosis ◽  
Operation Conditions ◽  
Vibration Pattern

This work provides a detection method for failure in rotating machines based on a change of vibration pattern and offers the diagnosis about the operation conditions using Fuzzy Logic. A mechanic structure (as an experimental prototype where faults can be inserted) called Rotating System has been used. The vibration standard of the Rotating System, called "The Spectral Signature", has been obtained. The changes in the vibration standard have been analyzed and used as parameters for detecting incipient failures, as well as their condition evolution, allowing predictive monitoring and planning of maintenance. The faults analyzed in this work are caused due to insertion of asymmetric masses for unbalancing in the axle wheel. The system for diagnosing Fuzzy System was calibrated to detect and diagnose the conditions: normal, incipient failure, maintenance, and danger, using linguistic variables. The frequency of rotation and the amplitudes of vibration of the axle wheel are considered in each situation as parameters for analysis, diagnostic, for the decision by the Expert System based on Fuzzy rules. The results confirm that the proposed method is useful for detecting incipient failures, monitoring the evolution of severity and offering grants for planning and decision making about maintenance or prevention of rotating machines.

Low back pain assessment application for construction workers

2015 ◽  
Vol 13 (3) ◽  
pp. 419-434
Author(s):  
H.O. Adeyemi ◽  
S.B. Adejuyigbe ◽  
S.O. Ismaila ◽  
A.F. Adekoya
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Expert System ◽  
Correlation Coefficient ◽  
Fuzzy Inference ◽  
First Aid ◽  
Low Back ◽  
Inference System ◽  
Content Type ◽  
Predicted Risk

Purpose – The purpose of this paper is to develop an expert system capable of assessing risk associated with manual lifting in construction tasks and proffer some first aid advices which are comparable with those obtainable from human experts. Design/methodology/approach – The expert system, musculoskeletal disorders – risk evaluation expert system (MSDs-REES), used Microsoft.Net C# programming language to write the algorithm of the fuzzy inference system with variables load, posture and frequency of lift as inputs and risk of low back pain as the output. The algorithm of the inference engine applied sets of rules to generate the output variable in crisp value. Findings – The result of validation, between the human experts’ calculated risk values and MSDs-REES-predicted risk values, indicated a correlation coefficient of 0.87. Between the predicted risk values generated using MSDs-REES and the existing package (MATLAB version 7.8), there was a strong positive relationship statistically with correlation coefficient of 0.97. Originality/value – The study provided a very simple expert system which has the ability to provide some medical-related injury prevention advice and first aid information for injury management, giving it a unique attribute over the existing applications.

scholarly journals Expert System for Aerial Vehicle Deployment System Selection

2021 ◽  
Author(s):  
Ming Yui Edwin Lau
Keyword(s):  
Expert System ◽  
Design Process ◽  
Fuzzy Inference ◽  
Search Algorithm ◽  
Engineering Problem ◽  
Flight Mechanics ◽  
Parametric Search ◽  
Programmable Device ◽  
Aerial Vehicle ◽  
System Selection

An expert system is a programmable device developed to provide automation for engineering problem solving. It is composed of artificial intelligence modules, subroutine functions, and databases. Under this framework, a design process is proposed to assist the conceptual design of aerial vehicles' deployment systems. The problem is first defined by a set of design requirements for take-off, landing, and cruise. The values are then translated to a set of performance parameters needed for the design process via a newly developed parametric search algorithm. Such parameters are categorised by a fuzzy inference module to determine the most suitable deployment-propulsion system, for conventional and V/STOL vehicles. Through the use of linear and neural network regression, a number of aerodynamic terms are estimated to support flight mechanics analyses, where the optimal take-off and landing thrust vectors are determined. Engine specifications are deduced in terms of unit thrust, weight, bypass ratio and dimension. The design process demonstrates effectiveness in sizing engines for V/STOL operations.

scholarly journals Design and Implementation of a Fuzzy Expert System for Diagnosing Breast Cancer

2019 ◽  
pp. 1-14 ◽  
Author(s):  
F. M. Okikiola ◽  
E. E. Aigbokhan ◽  
A. M. Mustapha ◽  
I. O. Onadokun ◽  
O. A. Akinade
Keyword(s):  
Breast Cancer ◽  
Expert System ◽  
Fuzzy Inference ◽  
Treatment Recommendation ◽  
Fuzzy Expert System ◽  
Cancer Type ◽  
Inference System ◽  
Java Programming ◽  
New Information ◽  
High Level

The death rate is caused by breast cancer in women is increasingly high and growing. A number of people are getting to lose this part of their body due to late diagnosis of this disease. This therefore requires the development of an efficient and accurate diagnosis approach that will aid providing the knowledge of the type of breast cancer type and severity in order to reduce the mortality rate through the disease. This need serves as the major motivation for this work. In this paper, we proposed a fuzzy expert system for diagnosis of and treatment recommendation of breast cancer problems which provide physicians and patients with information of the cancer type and treatment recommendation. The application was designed using JAVA programming language, MATLAB and SQLite database engine. This application permits update of new information as a means of knowledge. The evaluation showed that the inclusion of the fuzzy inference system improved the accuracy and precision of the system from 0.8 to 0.9. The system is user-friendly and has high level of acceptability from the validation conducted at the end of the research.

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