LBNL Fault Detection and Diagnostics Datasets

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.

리소스

  • PDF Inventory of LBNL FDD Datasets.pdf PDF

    This document provides an inventory and associated documentation of "LBNL FDD Data Sets_FCU.pdf". This document includes building and system information which includes system type and control sequence information. The document also includes a summary of benchmark data points and fault/fault-free building scenarios.

  • ZIP LBNL FDD Datasets ZIP

    Fan coil units (FCU) are a common type of terminal equipment used to condition zones in commercial buildings. This is a zip file of the CSV files that containing all the time-series measurements for 15 faults at different severity levels and 1 fault-free case. The simulated data set was created using HVACSIM+ developed by the US National Institute of Standards and Technology.

  • gov LBNL FDD Website gov

    Website for LBNL Fault Detection & Diagnostics providing more information and data resources.

  • ttl LBNL FDD Datasets Semantic Models Original.ttl ttl

    A .ttl file to present the semantic models of the "LBNL FDD Data Sets_FCU.ttl" according to BRICK schema. The file includes a full model schematic for the FDD benchmark and can be viewed by dragging and dropping the file in a browser. This file has been replaced by the "LBNL FDD Datasets Semantic Models" resource below.

  • ttl LBNL FDD Datasets Semantic Models Updated.ttl ttl

    An updated .ttl file to present the semantic models of the "LBNL FDD Data Sets_FCU.ttl" according to BRICK schema. Updates in this file include the addition of the previously missing “a brick” Brick Schema association relationships that map custom data point names to standardized Brick Schema data point names and the previously missing custom data point names.

항목
CKAN dataset id cf109793-e1ff-406b-98fb-f4f193e1c838
상태 active
url https://catalog.data.gov/dataset/lbnl-fault-detection-and-diagnostics-datasets
버전 2024-02-13
라이선스 cc-by
DOI 10.25984/1881324
accessLevel public
bureauCode {019:20}
catalog_@context https://openei.org/data.json
catalog_@id https://openei.org/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
dataQuality true
harvest_object_id 571cd9a0-83d2-41ab-bb17-b9d5f277b6c1
harvest_source_id 7cbf9085-0290-4e9f-bec1-91653baeddfd
harvest_source_title OpenEI data.json
identifier https://data.openei.org/submissions/5763
issued 2,022-08-01T06:00:00Z
landingPage https://data.openei.org/submissions/5763
license https://creativecommons.org/licenses/by/4.0/
modified 2,024-02-12T19:45:51Z
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programCode {019:002,019:000}
projectNumber FY22 AOP 3.2.6.1.
projectTitle Fault Detection and Diagnostics: Test Datasets and Prioritization Methods
publisher Lawrence Berkeley National Laboratory
resource-type Dataset
source_datajson_identifier true
source_hash 5f1344a6ffbf4274b166c68c1ad8922469d36a46cf49ba6ea30eea4f8751ffcb
source_schema_version 1.1
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담당자 Jessica Granderson
담당자 연락처 jgranderson@lbl.gov
제공 기관 Department of Energy
최초 수집 일시 2024-02-20T22:30:18…
최근 수집 일시 2024-02-20T22:30:18…

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