A statistical pattern analysis framework for rooftop unit diagnostics-Reference-Cited by-同舟云学术

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A statistical pattern analysis framework for rooftop unit diagnostics

Published:2012-06 Issue:3 Volume:18 Page:406-416
ISSN:1078-9669
Container-title:HVAC&R Research
language:en
Short-container-title:HVAC&R Research

Author:

Najafi Massieh¹,Auslander David M.¹,Haves Philip²,Sohn Michael D.³

Affiliation:

1. a Department of Mechanical Engineering , University of California Berkeley , Berkeley , CA , 94720 , USA

2. b Commercial Building Systems Group, Lawrence Berkeley National Laboratory , Berkeley , CA , USA

3. c Airflow and Pollutant Transport Group, Lawrence Berkeley National Laboratory , Berkeley , CA , USA

Publisher

Informa UK Limited

Subject

Building and Construction

Link

https://www.tandfonline.com/doi/pdf/10.1080/10789669.2011.607881

Reference30 articles.

1. Detection of Rooftop Cooling Unit Faults Based on Electrical Measurements

2. Brillinger , D. R. 2001 . Time Series Data Analysis and Theory , Chapters 5 and 8. Philadelphia , PA : SIAM .

3. Fault Diagnosis in Air-Conditioning Systems: A Multi-Step Fuzzy Model-Based Approach

4. Detection and diagnosis for sensor fault in HVAC systems

5. Fault detection and diagnosis based on improved PCA with JAA method in VAV systems

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3. Review on Fault Detection and Diagnosis Feature Engineering in Building Heating, Ventilation, Air Conditioning and Refrigeration Systems;IEEE Access;2021

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