Equipment condition monitoring: The problematicon statistical control charts

Suzana Paula Gomes Fernando da Silva Lampreia, Valter Martins Vairinhos, Valter Martins Vairinhos, José Fernando Gomes Requeijo, Vitor José de Almeid E Sousa Lobo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Every system is subject, along its life cycle, to several degradation processes that progressively degrade its state and increase its probability of failure (reliability reduction). This is true for the generality of systems—mechanical, electrical, software, human or organizational. If nothing is made—if there is no maintenance—every system will eventually fail. In order to start the condition control and improve its reliability, fixed sensors should be chosen in order to collect data of vibration, oil and water pressure, and temperature and particle size- among others. The actual equipment condition must be known, estimated or predicted from the collected data [1]. Unless the state or condition of system is directly observed, that condition is a latent variable in the sense of statistical theory—a variable not directly observed but with observable effects in the manifest variables, as the just mentioned observed variables associated to sensors. To provide support for the decision maker— at last for critical selected systems—it has been shown that some control statistical techniques are effective to ascertain trends and predict needs of future interventions out of observed data. When data is not appropriate, the combination of statistical techniques with simulations and can be considered. With this work we intend to show that control charts can be decisive as instruments of control of equipment monitoring and functioning [4], although there are some problems when applied to the conditioned maintenance; some of those problems can be overcome using a EWMAQ modified chart, adjusting its parameters [3].

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Management Science and Engineering Management - Focused on Computing and Engineering Management
EditorsV. A. Cruz-Machado , B. Lev, J. Xu, S. Nickel
Place of PublicationBerlin, Heidelberg
PublisherSpringer Verlag
Number of pages10
ISBN (Electronic)978-3-642-55122-2
ISBN (Print)978-3-642-55121-5
Publication statusPublished - 2014
Event8th International Conference on Management Science and Engineering Management, ICMSEM 2014 - Lisboa, Lisbon, Portugal
Duration: 25 Jul 201427 Jul 2014
Conference number: 8th

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
ISSN (Print)2194-5357


Conference8th International Conference on Management Science and Engineering Management, ICMSEM 2014
Abbreviated titleICMSEM 2014
Internet address


  • Condition based maintenance
  • Control charts
  • Statistical problems


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