Data for Fault Diagnosis in Adaptive Buildings (doi:10.18419/darus-3332)

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Part 2: Study Description
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Document Description

Citation

Title:

Data for Fault Diagnosis in Adaptive Buildings

Identification Number:

doi:10.18419/darus-3332

Distributor:

DaRUS

Date of Distribution:

2023-02-07

Version:

1

Bibliographic Citation:

Stiefelmaier, Jonas, 2023, "Data for Fault Diagnosis in Adaptive Buildings", https://doi.org/10.18419/darus-3332, DaRUS, V1

Study Description

Citation

Title:

Data for Fault Diagnosis in Adaptive Buildings

Identification Number:

doi:10.18419/darus-3332

Authoring Entity:

Stiefelmaier, Jonas (Universität Stuttgart)

Grant Number:

279064222 - SFB 1244

Distributor:

DaRUS

Access Authority:

Stiefelmaier, Jonas

Depositor:

Stiefelmaier, Jonas

Date of Deposit:

2023-01-24

Holdings Information:

https://doi.org/10.18419/darus-3332

Study Scope

Keywords:

Computer and Information Science, Engineering, Fault detection and isolation

Abstract:

<p> <b>General information:</b><br> This dataset is meant to serve as a benchmark problem for fault detection and isolation in dynamical systems. It contains pre-processed sensor data from the adaptive high-rise demonstrator building D1244, built in the scope of the <a href="https://www.sfb1244.uni-stuttgart.de/en/">CRC1244</a>. Parts of the measurements have been artificially corrupted and labeled accordingly. Please note that although the measurements are stored in Matlab's .mat-format (Version 7.0), they can easily be processed using free software such as the SciPy library in Python. </p> <p> <b>Structure of the dataset:</b><br> <ul> <li><b>train</b> contains the training data (only nominal)</li> <li><b>test_easy</b> contains test data (nominal and faulty with high fault amplitude). Faulty samples were obtained by manipulating a single signal in a random nominal sample from the test data.</li> <li><b>test_hard</b> contains test data (nominal and faulty with low fault amplitude)</li> <li><b>meta</b> contains textual labels for all signals and fault types</li> </ul> </p> <p> <b>File contents:</b><br> Each file contains the following data from 16384 timesteps: <ul> <li><b>t:</b> time in seconds</li> <li><b>u:</b> demanded actuator forces in newtons</li> <li><b>y:</b> measured outputs (relative elongations measured by strain gauges and actuator displacements in meters measured by position encoders)</li> <li><b>label:</b> categorical label of the present fault class, where 0 denotes the nominal class and faults in the different signals are encoded according to their index in the list of fault types <code>meta/labels.txt</code></li> </ul> Faulty samples additionally include the corresponding nominal values for reference <ul> <li><b>u_true:</b> delivered actuator forces</li> <li><b>y_true:</b> measured outputs without faults</li> </ul> A sample's textual fault label is also contained in its filename (between the first and second underscore). </p>

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Other Study-Related Materials

Label:

adaptive_building_diagnosis_data.zip

Notes:

application/zip