An expert system for diagnosing faults in the power train of a twin-engine gas turbine helicopter has been developed. The system, designated HELIX (HELicopter Integrated expert), performs diagnostic reasoning based on a hierarchical qualitative model representing the major power train components and the physical principles that govern their interaction. The approach represents a promising techn...

Fuzzy logic (FL) has emerged as an important branch of Expert system which has proved to provide solution to real life problems that had remained unsolvable otherwise. It has found wide range of applications in diversified areas. In this paper, we study how the methods of fuzzy logic have been effectively used to solve a myriad of problems in the field of agricultural sciences. This paper revie...

Fault diagnosis of pneumatic system of automatic production line is studied in this paper. A fuzzy neural network fault diagnosis expert system and pneumatic circuit fault diagnosis instrument are designed. The experiment device is built as well. In the end some experiments are done, whose results show that the expert system using fuzzy neural network can diagnose fast and truly fault of pneuma...

MEDEX is a fuzzy expert system for nowcasting gale-force winds in the Mediterranean. Kuciauskas et al. (1996) and Hadjimichael et al. (1996) have described, respectively, the general development and fuzzy aspects of MEDEX, which focuses on topographically-channeled winds that occur under certain synoptic conditions. As such, a key synoptic input to MEDEX is the 500 mb circulation pattern affect...

Systemized analysis of trends towards integration and hybridization in contemporary expert systems is conducted, and a particular class of applied expert systems, integrated expert systems, is considered. For this purpose, terminology, classification, and models, proposed by the author, are employed. As examples of integrated expert systems, Russian systems designed in this field and available ...

Horizontal cooperation is one very basic kind of cooperation between expert systems. We argue that the principle of horizontal cooperation under uncertainties is cooperation and competing. In this paper, we present a mechanism for competing. We introduce the deenition of expected utilities of hypotheses and the concept of conclusion distances which describes the degrees of diierence between con...

Introduction Expert system can be defined as a tool for information generation from knowledge. Information is either found in various forms or generated from data and/or knowledge. Text, images, video, audio are forms of media on which information can be found, and the role of information technology is to invent, and devise tools to store and retrieve this information. Statistical information i...

Financial decision-making problems represent an important new set of applications for expert systems. While these problems share certain similarities with the scientific and engineering domains that have historically been the focus of expert system research and development, they have their own special characteristics. What distinguishes financial applications? What demands do they place on expe...

Machine-generated explanations of an expert system's conclusions can be made long and unwieldy by the inclusion of information that is insigniicant to the user requesting the explanation. A portion of an explanation can be insigniicant to the user for one of two reasons: (1) the portion is full of terminology and inferences that the user does not have the expertise to understand, or (2) the por...

An OPS5 expert system has been developed, allowing the recognition of an arbitrary subpattern in a complex planar geometric figure under analysis. For this sake a syntactic representation for images is used by the expert system as a relational data base. The expert system looks for consistent mappings of the set of topological elements/relations representing the given subpattern into a correspo...