Using Rule Quality Measures for Rule Base Refinement in Knowledge-Based Predictive Maintenance Systems

2020 ◽  
Vol 51 (2) ◽  
pp. 161-176
Author(s):  
Qiushi Cao ◽  
Cecilia Zanni-Merk ◽  
Ahmed Samet ◽  
François de Bertrand de Beuvron ◽  
Christoph Reich
Keyword(s):  
Quality Measures ◽  
Predictive Maintenance ◽  
Rule Base ◽  
Knowledge Based ◽  
Maintenance Systems

scholarly journals Knowledge-based Lean Six Sigma maintenance system for sustainable buildings

2017 ◽  
Vol 8 (1) ◽  
pp. 109-130 ◽  
Author(s):  
Jasim Aldairi ◽  
M.K. Khan ◽  
J. Eduardo Munive-Hernandez
Keyword(s):  
Conceptual Framework ◽  
Six Sigma ◽  
Research Work ◽  
Lean Six Sigma ◽  
Rule Base ◽  
Sustainable Buildings ◽  
Sustainable Building ◽  
Content Type ◽  
Environmentally Sustainable ◽  
Knowledge Based

Purpose This paper aims to develop a knowledge-based (KB) system for Lean Six Sigma (LSS) maintenance in environmentally sustainable buildings (Lean6-SBM). Design/methodology/approach The Lean6-SBM conceptual framework has been developed using the rule base approach of KB system and joint integration with gauge absence prerequisites (GAP) technique. A comprehensive literature review is given for the main pillars of the framework with a typical output of GAP analysis. Findings Implementation of LSS in the sustainable building maintenance context requires a pre-assessment of the organisation’s capabilities. A conceptual framework with a design structure is proposed to tackle this issue with the provision of an enhancing strategic and operational decision-making hierarchy. Research limitations/implications Future research work might consider validating this framework in other type of industries. Practical implications Maintenance activities in environmentally sustainable buildings must take prodigious standards into consideration, and, therefore, a robust quality assurance measure has to be integrated. Originality/value The significance of this research is to present a novel use of hybrid KB/GAP methodologies to develop a Lean6-SBM system. The originality and novelty of this approach will assist in identifying quality perspectives while implementing different maintenance strategies in the sustainable building context.

Management of Bridge Structures – Challenges and Possibilities

2020 ◽  
Author(s):  
J. Bień ◽  
M. Salamak
Keyword(s):  
Integrated Management ◽  
Transport Infrastructure ◽  
Management Systems ◽  
Knowledge Based ◽  
Bridge Structures ◽  
Computer Based ◽  
Maintenance Systems ◽  
Infrastructure Improvement ◽  
Diagnostic Technologies ◽  
Monitoring Quality

<p>Bridges are particularly vulnerable elements of transport infrastructures. In many cases, bridge structures may be subject to higher volumes of traffic and higher loads as well as more severe environmental conditions than it was designed. Sound procedures to ensure monitoring, quality control, and preventive maintenance systems are therefore vital. The paper presents main challenges and arriving possibilities in management of bridge structures, including: relationships between environment and bridge infrastructure, improvement of diagnostic technologies, advanced modelling of bridges in computer-based management systems, development of knowledge-based expert systems with application of artificial intelligence, applications of technology of Bridge Information Modelling (BrIM) with augmented and virtual reality techniques. Presented activities are focused on monitoring the safety of bridges for lowering the risk of an unexpected collapse significantly as well as on efficient maintenance of bridges as components of transport infrastructure − by means of integrated management systems.</p>

A knowledge-based innovation assessment system for small- and medium-sized enterprises: adding value with cognitive mapping and MCDA

2018 ◽  
Vol 22 (3) ◽  
pp. 696-718 ◽  
Author(s):  
Catarina Grillo ◽  
Fernando A.F. Ferreira ◽  
Carla S.E. Marques ◽  
João J. Ferreira
Keyword(s):  
Key Management ◽  
Cognitive Mapping ◽  
Global Financial Crisis ◽  
Assessment System ◽  
Rule Base ◽  
Innovation Capability ◽  
Content Type ◽  
Knowledge Based ◽  
Intensive Group ◽  
Study Context

Purpose The 2008 global financial crisis showed that the ability to innovate is a key management skill and that approaches to assessing the innovation capability of small- and medium-sized enterprises (SMEs) need to be as realistic as possible. This study aims to address the latter practical need through a sociotechnical approach. Design/methodology/approach Based on a combined use of cognitive mapping and the Decision EXpert (DEX) technique, and grounded on the insights generated by a panel of SME managers and entrepreneurs in two intensive group meetings, a knowledge-based assessment system for evaluating SMEs’ innovation capability was created, tested and validated. Findings The knowledge-based assessment system identified the most innovative SMEs in a sample of companies. The “plus-minus-1” and dominance analyses carried out provided further support for the results. Research limitations/implications The proposed system is extremely versatile but process-oriented and idiosyncratic in nature, meaning that extrapolations to other contexts need to be done with due caution. Practical implications The panel of SME decision makers agreed that the system improves the current methods used to evaluate SMEs’ innovation capability, contributing to a more informed perspective on management issues. The panel members also noted that the proposed system functions as a learning mechanism, facilitating the development of well-focused suggestions for improvements SMEs can make. Originality/value The integrated use of cognitive maps and rule-base decisions contributes to a better understanding of how to assess SMEs’ innovation capability. No prior work reporting the integrated use of these two techniques in this study context has been found.

Fuzzy Quality Measures for Use in a Hierarchical Fuzzy Controller

2000 ◽  
Author(s):  
Alan Carlson ◽  
Dean B. Edwards ◽  
Michael J. Anderson
Keyword(s):  
Fuzzy Controller ◽  
Structure Optimization ◽  
Quality Measures ◽  
Quality Measure ◽  
Approximate Determination ◽  
Rule Base ◽  
System Parameters ◽  
The Individual ◽  
Monolithic Structure

Abstract This paper presents a control strategy that uses a hierarchical structure to arbitrate between recommendations from lower level modules. The lower level modules represent lower level tasks or behaviors. Each lower level module provides its own control recommendation based on its limited perception of the environment. We introduce the concept of a fuzzy quality measure that may be used by the hierarchical controller to determine how best to fuse the individual recommendations. The Quality Measure provides an approximate determination of each control recommendations potential value. The hierarchical partitioning reduces the cardinality of the rule base and decreases the number of system parameters, as compared to a monolithic structure. Optimization of the reduced parameter set is simpler and requires less time.

A Self-Defining Game for One Player: On the Nature of Creativity and the Possibility of Creative Computer Programs

Leonardo ◽  
2002 ◽  
Vol 35 (1) ◽  
pp. 59-64 ◽  
Author(s):  
Harold Cohen
Keyword(s):  
Expert Knowledge ◽  
Computer Programs ◽  
Rule Base ◽  
Directed Movement ◽  
Knowledge Based

The AARON program has been generating original artworks for almost 30 years, but is denied by its own author to be creative. The author characterizes creativity as a directed movement towards an illdefined but strongly felt end-state for the individual's work as a whole, not as a characteristic of any single work and profoundly knowledge-based in the sense of externalizing the individual's internal worldmodel and system of belief. He suggests that a creative program would be one that was able to modify the belief-based criteria that inform the rule-base in which expert knowledge is represented, not one that is able simply to modify the rule-base itself.

Fuzzy Analysis of Speech Metrics to Estimate Conductor Alertness

2009 ◽  
Author(s):  
Parham Shahidi ◽  
Steve C. Southward ◽  
Mehdi Ahmadian
Keyword(s):  
Mathematical Model ◽  
Fuzzy Logic ◽  
Rule Base ◽  
Mathematical Framework ◽  
Human Knowledge ◽  
Knowledge Based ◽  
Single Output ◽  
Output System ◽  
Alertness Level ◽  
Different Levels

A Fuzzy Logic-based algorithm has been developed for processing a series of speech metrics with the ultimate goal of estimating train conductor alertness. The output is a single metric, which directly quantifies the alertness level of the conductor. The metrics were selected based on their correlation to alertness through processed speech, but without any interpretation of the spoken words or phrases. Metrics that are used include: speech duration, silence duration, word production rate and word intensity. The assessment of these metrics is an experience and human knowledge based task, which generates the need for a mathematical model to accommodate this special circumstance. The algorithm developed here uses Fuzzy Logic to cast the human knowledge base into a mathematical framework for the alertness estimation analysis. The core of this fuzzy system is a rule base consisting of fuzzy IF-THEN rules, which are derived from the existing knowledge about the effects of sleep deprivation on alertness such as Furthermore, the rules were inferred from actual voice recordings that were taken on board a train. This data was then used to create a classification scheme to determine which pattern in the speech indicates different levels of alertness from anxiety to fatigue. The simplicity of the underlying mathematical model in this approach enables this system to compute and output an alertness metric in real-time. The nature of this algorithm allows for the use of an arbitrary number of rules to classify the alertness level and therefore provides the ability to continuously develop and extend the rule base as new knowledge emerges. The resulting algorithm is a fast, multi-input, single-output system that is able to quantify the train conductor’s alertness level anytime speech is produced.

Knowledge-Based Intermediaries

2010 ◽  
pp. 191-205
Author(s):  
Levent V. Orman
Keyword(s):  
Semantic Web ◽  
Information Technologies ◽  
Electronic Markets ◽  
Rule Based ◽  
Knowledge Based ◽  
New Information ◽  
Maintenance Systems ◽  
Multiple Levels ◽  
Organizational Architecture ◽  
New Generation

A new generation of intermediaries is predicted to flourish in the emerging electronic markets. They rely on new information technologies such as the semantic web, rule-based triggers, and knowledge-based constraint maintenance systems. These technologies do not automate or reduce intermediation, but inspire new types of intermediaries that rely on the technologies and complement them with human organizations. An inter-organizational architecture based on multiple levels of intermediation is described, and arguments are presented for its usefulness in emerging electronic markets.

Knowledge based engineering approach for subsea pipeline systems’ FFR assessment

2016 ◽  
Vol 28 (1) ◽  
pp. 40-61 ◽  
Author(s):  
R.M. Chandima Ratnayake
Keyword(s):  
Industrial Organization ◽  
Management System ◽  
Human Error ◽  
Information Management System ◽  
Rule Base ◽  
Content Type ◽  
Knowledge Based ◽  
Computerized Maintenance Management System ◽  
Structured Information ◽  
Knowledge Based Engineering

Purpose – The purpose of this paper is to focus on developing a knowledge-based engineering (KBE) approach to recycle the knowledge accrued in an industrial organization for the mitigation of unwanted events due to human error. The recycling of the accrued knowledge is vital in mitigating the variance present at different levels of engineering applications, evaluations and assessments in assuring systems’ safety. The approach is illustrated in relation to subsea systems’ functional failure risk (FFR) analysis. Design/methodology/approach – A fuzzy expert system (FES)-based approach has been proposed to facilitate FFR assessment and to make knowledge recycling possible via a rule base and membership functions (MFs). The MFs have been developed based on the experts’ knowledge, data, information, and on their insights into the selected subsea system. The rule base has been developed to fulfill requirements and guidelines specified in DNV standard DNV-RP-F116 and NORSOK standard Z-008. Findings – It is possible to use the FES-based KBE approach to make FFR assessments of the equipment installed in a subsea system, focussing on potential functional failures and related consequences. It is possible to integrate the aforementioned approach in an engineering service provider’s existing structured information management system or in the computerized maintenance management system (CMMS) available in an asset owner’s industrial organization. Research limitations/implications – The FES-based KBE approach provides a consistent way to incorporate actual circumstances at the boundary of the input ranges or at the levels of linguistic data and risk categories. It minimizes the variations present in the assessments. Originality/value – The FES-based KBE approach has been demonstrated in relation to the requirements and guidelines specified in DNV standard DNV-RP-F116 and NORSOK standard Z-008. The suggested KBE-based FES that has been utilized for FFR assessment allows the relevant quantitative and qualitative data (or information) related to equipment installed in subsea systems to be employed in a coherent manner with less variability, while improving the quality of inspection and maintenance recommendations.

Predictive Maintenance of Cogeneration Engines Through the Analysis of the Circulating Fluids

2002 ◽  
Author(s):  
J. R. Gonza´lez ◽  
J. Velayos ◽  
M. Comamala
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Diesel Engines ◽  
Predictive Maintenance ◽  
Maintenance System ◽  
Maintenance Systems

In this article we present a fluid-based predictive maintenance system based on an expert system which uses fuzzy logic. The programme uses information from the circulating fluids of the machine to provide an evaluation of the maintenance status of the engine. Specifically, the programme is aimed at diesel engines in a half rate cogeneration, and so we will compare our results with other commercial maintenance systems, such as FAMM (Texaco) and ADOC (Repsol), which provide corresponding responses.

The Complementary Roles of Knowledge-Based Systems and Numerical Optimization in Engineering Design Software

1989 ◽  
Vol 111 (1) ◽  
pp. 100-103 ◽  
Author(s):  
R. Ellsworth ◽  
A. Parkinson ◽  
F. Cain
Keyword(s):  
Expert System ◽  
Engineering Design ◽  
Numerical Optimization ◽  
Optimization Methods ◽  
Design Rule ◽  
Rule Base ◽  
Design Problems ◽  
Knowledge Based ◽  
Engineering Design Problems ◽  
Trial And Error Method

In many engineering design problems, the designer converges upon a good design by iteratively evaluating a mathematical model of the design problem. The trial-and-error method used by the designer to converge upon a solution may be complex and difficult to capture in an expert system. It is suggested that in many cases, the design rule base could be made significantly smaller and more maintainable by using numerical optimization methods to identify the best design. The expert system is then used to define the optimization problem and interpret the solution, as well as to apply the true heuristics to the problem. An example of such an expert system is presented for the design of a valve anticavitation device. Because of the capabilities provided by the optimization software, the expert system has been able to outperform the expert in the test cases evaluated so far.

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