Early warning signals of failures in building management systems
نویسندگان
چکیده
In the context of sensor data generated by Building Management Systems (BMS), early warning signals are still an unexplored topic. The detection anomalies can help preventing malfunctions key parts a heating, cooling and air conditioning (HVAC) system that may lead to range BMS problems, from important energy waste fatal errors in worst case. We analyse for failure detection. this paper, studied is malfunction one specific Air Handling Unit (AHU) control causes temperature spikes up 30 degrees Celsius due overreaction heating valves response anomalous change caused pre-heat coil winter period area manufacturing facility. For such purpose, variance, lag-1 autocorrelation function (ACF1), power spectrum (PS) variational autoencoder (VAE) techniques applied both univariate multivariate scenarios. scenario considers application these variable only (the displays failure), whereas analysis variables affecting same purpose. Results show be detected 32 hours prior failure, which gives sufficient time engineers prevent therefore, proactive approach failures adopted instead reactive one.
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ژورنال
عنوان ژورنال: International Journal of Metrology and Quality Engineering
سال: 2021
ISSN: ['2107-6839', '2107-6847']
DOI: https://doi.org/10.1051/ijmqe/2021009