CASCADE: A Knowledge-Based Drilling Engineering Software Tool

1992 ◽  
Author(s):  
Daniela Mattiello
Keyword(s):  
Software Tool ◽  
Engineering Software ◽  
Knowledge Based ◽  
Drilling Engineering

A Concept of a Knowledge-Based Assistance System for Servohydraulic Drive Design

2007 ◽  
Author(s):  
Kristof Schlemmer ◽  
Hubertus Murrenhoff
Keyword(s):  
Expert System ◽  
Hydraulic Drive ◽  
Software Tool ◽  
Interactive Software ◽  
Hydraulic Control ◽  
Development Environment ◽  
Industrial Enterprises ◽  
Knowledge Based ◽  
Comprehensive Survey ◽  
Drive Systems

Outsourcing of drive engineering is a tendency to be observed in many industrial enterprises today. As in-house expertise diminishes, competitiveness of hydraulic drive systems compared to electrical drives gains importance. Servohydraulic control systems, however, require very specific and complex approaches to circuit and control design. They are thus demanding on the designer’s knowledge and experience, which often leads to hydraulic solutions being implemented unsatisfactorily or not at all. The concept developed in this paper therefore aims at providing support in drive system design to inexperienced customers or sales people. In order to make the diversity of existing expertise accessible and utilizable, a knowledge-based approach is proposed. The objective is seen in an interactive software tool that guides the user through the iterative process of analyzing the problem, planning and designing the most appropriate drive solution. Requirements and selection criteria for a development environment are specified, and an expert system shell is selected as a means of implementation. A taxonomy of linear hydraulic servo drives is created that provides a frame for an object-oriented knowledge base. Knowledge extracted from text books and expert interviews is integrated into the system as a collection of rules and facts. Special attention is paid to the selection of a control strategy that delivers optimum performance beyond the capability of standard PID controllers. A comprehensive survey of hydraulic control technology is to ascertain that the developed expert system employs both approved and novel techniques to the benefit of overall system performance.

RIGOROUS ENGINEERING PRACTICE AND FORMAL REASONING OF DEEP DOMAIN KNOWLEDGE—THE BASIS OF DEPENDABLE KNOWLEDGE BASED SYSTEMS FOR PROCESS PLANT CONTROL

1993 ◽  
Vol 03 (01) ◽  
pp. 53-98 ◽  
Author(s):  
SANDRO BOLOGNA ◽  
TERJE SIVERTSEN ◽  
HEIKKI VÄLISUO
Keyword(s):  
Artificial Intelligence ◽  
Domain Knowledge ◽  
Engineering Practice ◽  
Knowledge Based Systems ◽  
Control Engineering ◽  
Engineering Software ◽  
Knowledge Based ◽  
Process Plant ◽  
Verification Process ◽  
The Many

Knowledge based systems are often used to replace humans in solving problems for which only heuristic knowledge on the solution is available. However, there are also important application areas where nonheuristic knowledge is available e.g. in technical documents but where efficient use of the knowledge is impossible without the techniques provided by artificial intelligence. High dependability of these kinds of applications can be achieved if domain knowledge can be represented in a language providing both adequate representational constructs and the required level of formality. In addition, the language should be supported by powerful tools assisting in the verification process. Knowledge Based Systems, despite the different technology employed, are still nothing more than a computer program. Unfortunately, quite a few people building knowledge based systems seem to ignore the many good programming practices that have evolved over the years for producing traditional computer programs. What we need is a framework for the modelling of the KBSs development. In our work, it is claimed that these requirements can be met by utilizing and combining ideas from control engineering, software engineering and artificial intelligence.

Optimized Perforation - From Black Art to Engineering Software Tool

2006 ◽  
Author(s):  
Matthew Robert Bell ◽  
John Barry Davies ◽  
Sam Simonian
Keyword(s):  
Software Tool ◽  
Engineering Software ◽  
Black Art

Resource-Constrained Shop-Level Scheduling in a Shipyard

2003 ◽  
Vol 19 (02) ◽  
pp. 65-75
Author(s):  
V. Rajendra Prasad ◽  
Mike Graul ◽  
Perakath Benjamin ◽  
Richard Mayer ◽  
Patrick D. Cahill
Keyword(s):  
Job Shop ◽  
Job Shop Scheduling ◽  
Short Interval ◽  
Software Tool ◽  
Generic Model ◽  
Due Dates ◽  
Resource Constrained ◽  
Planning And Scheduling ◽  
Knowledge Based ◽  
Level Scheduling

Ship production planning and scheduling at higher levels do not explicitly consider scheduling details at the level of individual workshops. However, the schedule of major events in ship production is collectively influenced by the actual shop-level, short-interval production schedules, which depend on resource and material availability and also on the due dates and priorities of the workloads. This necessitates development of robust, resource-constrained, shop-level scheduling systems that can support higher-level schedules in ship production. WorkShip (Knowledge Based Systems, Inc., College Station, TX) is a software tool for scheduling workload over short, regular intervals in workshops of a shipyard. It is driven by a powerful scheduling engine that is based on a generic model of resource-constrained job-shop scheduling and an efficient scheduling technique. Similar scheduling systems are being developed in other shops so that all systems can be used in tandem to support higher-level scheduling and help achieve optimal productivity for the shipyard.

A MULTIDISCIPLINARY APPROACH FOR SUPPORTING KNOWLEDGE-BASED DECISION MAKING IN COLLABORATIVE SETTINGS

2007 ◽  
Vol 16 (06) ◽  
pp. 1069-1092 ◽  
Author(s):  
CHRISTINA E. EVANGELOU ◽  
NIKOS KARACAPILIDIS
Keyword(s):  
Decision Making ◽  
Multidisciplinary Approach ◽  
Software Tool ◽  
Strategy Development ◽  
Knowledge Domain ◽  
Web Based ◽  
Knowledge Resources ◽  
Knowledge Based ◽  
Management Processes ◽  
Organizational Activity

Collaborative decision making is a core organizational activity that comprises a series of knowledge representation and processing tasks. Moreover, it is often carried out through argumentative discourses between the stakeholders involved. This paper exploits and elaborates on the synergy that occurs between the decision making and knowledge management processes in such contexts. The proposed multidisciplinary approach is supported by a web-based software tool. Being based on a well-defined ontology model, our approach facilitates decision makers in achieving a common understanding, while also enhancing collaboration and exploitation of organizational knowledge resources. Strategy development is the particular knowledge domain considered in this paper to demonstrate the applicability of the proposed tool.

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