A framework for intelligent reliability centered maintenance analysis

Cheng, Zou; Jia, Xisheng; Gao, Peng; Wu, Shaohua; Wang, Jianzhao

doi:10.1016/j.ress.2007.03.037

Cited by 69 publications

(41 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Such that when linked to existing information systems, the hierarchical conceptual structure of domain knowledge can support both a broader overview and some deep analysis. For instance, by investigating on groups of technical equipments with similar functional and behavioural properties, it is possible to find out if there are equivalent alternative equipments that can be used in a target maintenance procedure [15]. The maintainer should be prompted for the location of the alternative equipments with information structuring that provides ways for managing, reappraising, and reusing alternative equivalents for NDT objects.…”

Section: Information Structuring For Maintenance Equipment's Represenmentioning

confidence: 99%

Knowledge-based support in Non-Destructive Testing for health monitoring of aircraft structures

Kamsu-Foguem

2012

Advanced Engineering Informatics

View full text Add to dashboard Cite

OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Maintenance manuals include general methods and procedures for industrial maintenance and they contain information about principles of maintenance methods. Particularly, Non-Destructive Testing (NDT) methods are important for the detection of aeronautical defects and they can be used for various kinds of material and in different environments. Conventional non-destructive evaluation inspections are done at periodic maintenance checks. Usually, the list of tools used in a maintenance program is simply located in the introduction of manuals, without any precision as regards to their characteristics, except for a short description of the manufacturer and tasks in which they are employed. Improving the identification concepts of the maintenance tools is needed to manage the set of equipments and establish a system of equivalence: it is necessary to have a consistent maintenance conceptualization, flexible enough to fit all current equipment, but also all those likely to be added/used in the future. Our contribution is related to the formal specification of the system of functional equivalences that can facilitate the maintenance activities with means to determine whether a tool can be substituted for another by observing their key parameters in the identified characteristics. Reasoning mechanisms of conceptual graphs constitute the baseline elements to measure the fit or unfit between an equipment model and a maintenance activity model. Graph operations are used for processing answers to a query and this graph-based approach to the search method is in-line with the logical view of information retrieval. The methodology described supports knowledge formalization and capitalization of experienced NDT practitioners. As a result, it enables the selection of a NDT technique and outlines its capabilities with acceptable alternatives.

show abstract

Section: Information Structuring For Maintenance Equipment's Represenmentioning

confidence: 99%

Knowledge-based support in Non-Destructive Testing for health monitoring of aircraft structures

Kamsu-Foguem

2012

Advanced Engineering Informatics

View full text Add to dashboard Cite

show abstract

“…Many CBR-based systems represent cases using features and employ a similarity function to measure the similarities between new and historical cases (Shin and Han, 1999). The approach commonly used to assess similarity is the distance function including the Euclidean distance (Cheng et al, 2008;Elhadi, 2000;Kwong and Tam, 2002) and the Manhattan distance (Bryant, 1997;Yu and Liu, 2006). Chiu et al (2003) proposed GA-based feature weighting together with number of nonlinear similarity functions based on standard the Euclidean distance metric.…”

Section: Cbr Backgroundmentioning

confidence: 99%

Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process

Xing¹,

Ding²,

Chai³

et al. 2012

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

a b s t r a c tIn this paper, a hybrid intelligent parameter estimation algorithm is proposed for predicting the strip temperature during laminar cooling process. The algorithm combines a hybrid genetic algorithm (HGA) with grey case-based reasoning (GCBR) in order to improve the precision of the strip temperature prediction. In this context, the hybrid genetic algorithm is formed by combining the genetic algorithm with an annealing and a local multidimensional search algorithm based on deterministic inverse parabolic interpolation. Firstly, the weight vectors of retrieval features in case-based reasoning are optimised using hybrid genetic algorithm in offline mode, and then they are used in grey case-based reasoning to accurately estimate the model parameters online. The hybrid intelligent parameter estimation algorithm is validated using a set of operational data gathered from a hot-rolled strip laminar cooling process in a steel plant. Experiment results show the effectiveness of the proposed method in improving the precision of the strip temperature prediction. The proposed method can be used in real-time temperature control of hot-rolled strip and has potential for parameter estimation of different types of cooling process.

show abstract

“…The description of an intelligent system that combines CBR and rule-based reasoning for intelligent reliability centred maintenance (RCM) analysis was described by Cheng et al [11]; they mention FMEA as one of the phases of RCM.…”

Section: Related Workmentioning

confidence: 99%