Equipment State New Indicators and Forecasting ARMA Mode

Abstract:

The equipment storage condition monitoring technology research equipment equipment full life cycle environmental temperature and humidity, vibration impact stress and location information such as the attitude of the real-time data acquisition and processing analysis of equipment equipment maintenance and management is the effective supplement. Based on the equipment storage state information definition warning rate new indicators, and establish the ARMA forecasting model. performance is not the same as the state of the difference between the equipment equipment change maintenance and quality management plan.

• Periodical: Advanced Materials Research (Volumes 753-755)
• Pages: 2277-2281
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.753-755.2277
• Online since: August 2013
• Authors: Zhu Lin Wang, Yan Bo Zhu, Qi Chang Li
• Keywords: ARMA Model, Condition Monitor, Equipment Predictive Rate, Short-Time Prediction, Time Series Analysis

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