Automated fault detection and diagnosis for supermarkets–method selection, replication, and applicability-Reference-Cited by-同舟云学术

Automated fault detection and diagnosis for supermarkets–method selection, replication, and applicability

Published:2019-09 Issue: Volume:198 Page:520-527
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Behfar Alireza,Yuill David,Yu Yuebin

Funder

ASHRAE

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference36 articles.

1. Enhancing energy efficiency in supermarket refrigeration systems through a robust energy performance indicator;Acha;Int. J. Refrig.,2016

2. Advanced Energy Design Guide For Grocery Stores - Achieving 50% Energy Savings Toward a Net Zero Energy Building,2015

3. A. Behfar, Y. Yu, D. Yuill, (2017). Fault Detection and Diagnostic (FDD) Methods for Supermarkets – Phase 1. Final Report for 1615 RP, ASHRAE. Atlanta, Georgia.

4. Automated fault detection and diagnosis methods for supermarket equipment (RP-1615);Behfar;Sci. Technol. Built Environ.,2017

5. Supermarket system characteristics and operating faults (RP-1615);Behfar;Sci. Technol. Built Environ.,2018

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