Application Of Multi- Step Time Series Prediction For Industrial Equipment Prognostic

• Main Authors: Asmai, Siti Azirah, Abdullah, Rosmiza Wahida, Che Soh, Mohd Norhisham, Hasan Basari, Abd Samad, Hussin, Burairah
• Format: Conference or Workshop Item
• Language: English
• Published: 2011
• Online Access: http://eprints.utem.edu.my/id/eprint/20107/1/APPLICATION%20OF%20MULTI-STEP%20TIME%20SERIES%20PREDICTION%20FOR%20INDUSTRIAL%20EQUIPMENT%20PROGNOSTIC-SITI%20AZIRAH%20ASMAI-MAK%2000346%20RAF.pdf; http://eprints.utem.edu.my/id/eprint/20107/; https://core.ac.uk/download/pdf/235629015.pdf

The use of prognostics is critically to be implemented in industrial. This paper .presents an application of multi-step time series prediction to support industrial equipment prognostic. An artificial neural network technique with sliding window is considered for the multi-step prediction which is a...