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.

本数据集可用于评估与基准测试故障检测与诊断（Fault Detection and Diagnostics, FDD）算法或工具的性能精度。其涵盖7类暖通空调（Heating, Ventilation and Air Conditioning, HVAC）系统及设备的运行数据，数据来源包含仿真模拟、实验室实验与真实建筑的现场实测，涉及的设备具体为屋顶式空调机组、单风道空气处理机组、双风道空气处理机组、变风量箱、风机盘管机组、冷水机组群以及锅炉机组群。每个数据集均包含一份用于说明理解其内容与范围所需关键信息的PDF文件、多份存储了不同严重程度故障及1组无故障工况下全时序数据的CSV文件，以及一份可依据BRICK架构实现数据可视化的TTL文件。本数据集由LBNL、PNNL、NREL、ORNL与德雷塞尔大学联合创建。

搜集汇总

背景与挑战

背景概述

LBNL故障检测与诊断数据集包含七种HVAC系统设备的模拟和实测数据，用于评估FDD算法性能，提供PDF说明文档、CSV时间序列数据和TTL可视化文件。