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Data-driven and association rule mining-based fault diagnosis and action mechanism analysis for building chillers

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Affiliation of Author(s):能源与动力工程学院

Journal:ENERGY AND BUILDINGS

Key Words:Construction & Building Technology; Energy & Fuels; Engineering, Civil

Co-author:石大亮(学),李冠男(外),谢翌,李夔宁,刘彬,茹志鹏(外)

First Author:刘江岩

Indexed by:Journal paper

Document Code:215775

Volume:216

Page Number:-

ISSN No.:0378-7788

Translation or Not:no

Date of Publication:2020-01-01

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Personal information

Lecturer
Supervisor of Master's Candidates

E-Mail:

School/Department:能源与动力工程学院

Education Level:With Certificate of Graduation for Doctorate Study

Business Address:重庆大学A区动力楼401

Gender:Male

Degree:Doctoral Degree in Engineering

Status:Employed

Alma Mater:华中科技大学

Discipline:Refrigeration and Cryogenic Engineering

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