Investigation of Time-series Prediction for Turbine Machinery Condition Monitoring

Volume: 1081, Issue: 1, Pages: 012022 - 012022
Published: Feb 1, 2021
Abstract
A running compressor generates a huge amount of data every day. Some of the data contains useful information that allows the user to determine in advance whether the machine will fail or not. Forecasting in advance cannot only avoid the huge loss caused by unnecessary downtime but also ensure the safety of staff. The main tasks of compressor condition monitoring include data acquisition, data preprocessing, data analysis, alarm module, response...
Paper Details
Title
Investigation of Time-series Prediction for Turbine Machinery Condition Monitoring
Published Date
Feb 1, 2021
Volume
1081
Issue
1
Pages
012022 - 012022
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.