Blog
About

8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A dissimilarity-based approach to predictive maintenance with application to HVAC systems

      Preprint

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The goal of predictive maintenance is to forecast the occurrence of faults of an appliance, in order to proactively take the necessary actions to ensure its availability. In many application scenarios, predictive maintenance is applied to a set of homogeneous appliances. In this paper, we firstly review taxonomies and main methodologies currently used for condition-based maintenance; secondly, we argue that the mutual dissimilarities of the behaviours of all appliances of this set (the "cohort") can be exploited to detect upcoming faults. Specifically, inspired by dissimilarity-based representations, we propose a novel machine learning approach based on the analysis of concurrent mutual differences of the measurements coming from the cohort. We evaluate our method over one year of historical data from a cohort of 17 HVAC (Heating, Ventilation and Air Conditioning) systems installed in an Italian hospital. We show that certain kinds of faults can be foreseen with an accuracy, measured in terms of area under the ROC curve, as high as 0.96.

          Related collections

          Most cited references 16

          • Record: found
          • Abstract: not found
          • Article: not found

          Residual Life Predictions From Vibration-Based Degradation Signals: A Neural Network Approach

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Stochastic modeling of fatigue crack dynamics for on-line failure prognostics

             S. Tangirala,  A. Ray (1996)
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

                Bookmark

                Author and article information

                Journal
                2017-01-13
                1701.03633

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                Custom metadata
                keywords: predictive maintenance, condition-based maintenance, prognosis, machine learning, dissimilarity-based representation, HVAC. 15 pages
                cs.LG

                Artificial intelligence

                Comments

                Comment on this article