Publications

@article{Najeh201875,

title = {Diagnosis of sensor grids in a building context: Application to an office setting},

author = {H. Najeh and M. P. Singh and K. Chabir and S. Ploix and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041911167\&doi=10.1016%2fj.jobe.2018.01.008\&partnerID=40\&md5=7e28bcca4f4d39a91a3f5cbc5ecf5fa3},

doi = {10.1016/j.jobe.2018.01.008},

issn = {23527102},

year  = {2018},

date = {2018-01-01},

journal = {Journal of Building Engineering},

volume = {17},

pages = {75-83},

publisher = {Elsevier Ltd},

abstract = {This paper aims at designing a diagnosis tool that shall be used to support experts for detecting and localizing faults in a sensor grid of a building system. It is a tool-aided diagnosis with mathematical models and reasoning tools that determines whether a sensor is faulty or not. It is based on detection tests and logical diagnosis analysis for the first principle. At the beginning, a succinct state of art is provided for existing fault detection and diagnosis (FDD) methods. Then, the diagnosis algorithm is proposed: it deals with a BRIDGE approach of FDD for a building system focusing on sensor grids. Sensor faults are diagnosed thanks to detection tests and diagnosis first principle. In addition, this approach provides the possible fault modes including multiple sensor faults. Finally, a series of tests are performed in order to validate the approach. An application example shows the efficiency of the proposed technique: an office setting at Grenoble Institute of Technology. © 2018 Elsevier Ltd},

note = {cited By 9},

keywords = {Application examples; Based on detections; Building systems; Diagnosis algorithms; Fault detection and diagnosis; Fault detection and isolation; Sensor grids; Test designs, Bridge approaches; Bridges; Failure analysis, Fault detection},

pubstate = {published},

tppubtype = {article}

}