Heat Recovery Unit Failure Detection in Air Handling Unit - Advances in Production Management Systems - Smart Manufacturing for Industry 4.0 Access content directly
Conference Papers Year : 2018

Heat Recovery Unit Failure Detection in Air Handling Unit

Manik Madhikermi
  • Function : Author
  • PersonId : 1050387
Narges Yousefnezhad
  • Function : Author
  • PersonId : 1050388

Abstract

Maintenance is a complicated task that encompasses various activities including fault detection, fault diagnosis, and fault reparation. The advancement of Computer Aided Engineering (CAE) has increased challenges in maintenance as modern assets have became complex mixes of systems and sub systems with complex interaction. Among maintenance activities, fault diagnosis is particularly cumbersome as the reason of failures on the system is often neither obvious in terms of their source nor unique. Early detection and diagnosis of such faults is turning to one of the key requirements for economical and functional asset efficiency. Several methods have been investigated to detect machine faults for a number of years that are relevant for many application domains. In this paper, we present the process history-based method adopting nominal efficiency of Air Handling Unit (AHU) to detect heat recovery failure using Principle Component Analysis (PCA) in combination of the logistic regression method.
Fichier principal
Vignette du fichier
472851_1_En_43_Chapter.pdf (439.92 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02177899 , version 1 (09-07-2019)

Licence

Attribution

Identifiers

Cite

Manik Madhikermi, Narges Yousefnezhad, Kary Främling. Heat Recovery Unit Failure Detection in Air Handling Unit. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2018, Seoul, South Korea. pp.343-350, ⟨10.1007/978-3-319-99707-0_43⟩. ⟨hal-02177899⟩
79 View
206 Download

Altmetric

Share

Gmail Facebook X LinkedIn More