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LBNL Fault Detection and Diagnostics Datasets

Metadata Updated: February 13, 2024

These datasets can be used to evaluate and benchmark the performance accuracy of Fault Detection and Diagnostics (FDD) algorithms or tools. It contains operational data from simulation, laboratory experiments, and field measurements from real buildings for seven HVAC systems/equipment (rooftop unit, single-duct air handler unit, dual-duct air handler unit, variable air volume box, fan coil unit, chiller plant, and boiler plant). Each dataset includes a .pdf file to document key information necessary to understand the content and scope, multiple csv files containing all the time-series data for faults at different severity levels and one fault-free case, and a ttl file to visualize the data according to BRICK schema. The dataset was created by LBNL, PNNL, NREL, ORNL and Drexel University.

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons Attribution

Downloads & Resources


Metadata Created Date August 15, 2022
Metadata Updated Date February 13, 2024

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 15, 2022
Metadata Updated Date February 13, 2024
Publisher Lawrence Berkeley National Laboratory
Doi 10.25984/1881324
Data First Published 2022-08-01T06:00:00Z
Data Last Modified 2024-02-12T19:45:51Z
Public Access Level public
Bureau Code 019:20
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Data Quality True
Harvest Object Id 571cd9a0-83d2-41ab-bb17-b9d5f277b6c1
Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
Harvest Source Title OpenEI data.json
Homepage URL
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Program Code 019:002, 019:000
Projectnumber FY22 AOP
Projecttitle Fault Detection and Diagnostics: Test Datasets and Prioritization Methods
Source Datajson Identifier True
Source Hash 5f1344a6ffbf4274b166c68c1ad8922469d36a46cf49ba6ea30eea4f8751ffcb
Source Schema Version 1.1
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