The vibration analysis and condition monitoring technology is based on comparison of measurements obtained with benchmarks suggested by manufacturers or standards. In this case, the references provided by current rules are static and independent of parameters such as age or environmental conditions in which the machine is analyzed. New communication technologies allow the integration of eMainte...

PANACEA's objective is to join a number of advanced interoperable tools to build a factory of Language Resources (LR). A production line that automates the stages involved in the acquisition, production, updating and maintenance of the LR required by Machine Translation and other Language Technologies.

Maintenance has been acknowledged by industrial management as a significant influencing factor of plant performance. Effective plant maintenance can be realized by developing a proper maintenance strategy. However, selecting an appropriate maintenance strategy is difficult because maintenance is a non-repetitive task such as production activity. Maintenance also does not leave a consistent trac...

Abstract Machine learning methods have shown potential for the optimization of production processes. Due to complex relationships often inherent in those processes, success such is uncertain and unreliable. Therefore, understanding (algorithmic) behavior results machine crucial improve prediction Here, mathematical tools may help. This paper shows how efficient algorithms training neural networ...

Maintenance concerns impact systems in every industry and effective maintenance policies are important tools. We present a methodology for maintenance decision making for deteriorating systems under conditions of uncertainty that integrates statistical quality control (SQC) and partially observable Markov decision processes (POMDPs). We use simulation to develop realistic maintenance policies f...

This article presents a Decision Support System which focuses on an important organizational context: maintenance decisions. Usually, a specific management system is required to deal with data on failure, reliability, maintainability and availability regarding equipment. The maintenance context is surrounded by uncertainty and does not provide a clear profit from its activities, and thus requir...

farm machinery managers often need to make complex economic decisions on machinery replacement. repair and maintenance costs can have significant impacts on this economic decision. the farm manager must be able to predict farm machinery repair and maintenance costs. this study aimed to identify a regression model that can adequately represent the repair and maintenance costs in terms of machine...