A novel local temperature change detection approach in a 3D thermal field. Issue 6 (1st November 2020)

• Record Type: Journal Article
• Authors: An, Yu; Wang, Di; Zhang, Xi
• Is Part Of: Quality technology & quantitative management. Volume 17:Issue 6(2020)
• Page Start: 723
• Page End: 737
• Publication Date: 2020-11-01
• Subjects: Field monitoring -- Gaussian-kriging model -- MCUSUM; Quality control -- Periodicals; Quality control -- Statistical methods -- Periodicals; Industrial management -- Periodicals; Industrial management; Management -- Research -- Methodology -- Periodicals; Qualitative research -- Periodicals; Management; Quality control; Quality control -- Statistical methods; Periodicals; 658.00721
• DOI: 10.1080/16843703.2020.1745369
• Languages: English
• ISSNs: 1684-3703

Abstract

ABSTRACT: Local thermal field monitoring is of great importance in industrial engineering practice. In view of the complex thermodynamics of a 3D thermal field, the local temperature change beneath the global thermal field is relatively challenging to detect using existing approaches. To fill this gap, we propose a thermal field monitoring method that decomposes the dynamic thermal field into global trend and local variability parts. Specifically, a universal kriging model that characterises the spatial correlation at each time epoch is developed to model the local variability using sensing data. To efficiently monitor the thermal field changes, a multivariate cumulative sum chart that uses the estimated parameters is designed. An actual case study of the thermal field of a granary is used to validate the performance of the proposed method.