Ubiquitous computing for dynamic condition‐based maintenance

Abstract

Purpose

The purpose of this paper is to describe a flexible architecture concept to provide a ubiquitous computing framework where condition‐based maintenance (CBM) data and information can be easily accessed, and maintenance decisions may be performed wherever required.

Design/methodology/approach

The architecture is based on a platform of intelligent web services, and logically structured decision layers based on the open systems architecture for CBM definition, from condition monitoring to decision support, and provides automated extraction of results. The application of web services is demonstrated, first related with an original vision on the adoption of mobile devices for dynamic maintenance management solutions, and then with a more conventional web‐based predictive maintenance management system.

Findings

Scenarios for the upgrade of existing preventive maintenance practices towards condition‐based strategies are sufficiently different to require customised solutions. A web‐based platform can work with such differences in a cost‐effective way.

Research limitations/implications

Further research can expand the actual platform by embedding new complementary web services.

Practical implications

Condition‐based strategies can provide clear savings in many maintenance activities. The platform described will provide the necessary flexibility to industrial users to manage the volume of data and information needed in CBM.

Originality/value

The platform is flexible enough to provide intelligent processing “on‐demand” and ubiquitously, with a three‐level configuration of web services, agents and interfaces that facilitates interoperability with existing legacy systems. Finally, the platform can grow according to the needs of the user (e.g. new information, increased knowledge on the process, new measurements, etc.).

Citation

Arnaiz Irigaray, A., Gilabert, E., Jantunen, E. and Adgar, A. (2009), "Ubiquitous computing for dynamic condition‐based maintenance", Journal of Quality in Maintenance Engineering, Vol. 15 No. 2, pp. 151-166. https://doi.org/10.1108/13552510910961101