Crimp Force Curve Dataset 核心 · 已核验

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<p>The <b>"Crimp Force Curve Dataset"</b> is a comprehensive collection of univariate time series data representing crimp force curves recorded during the manufacturing process of crimp connections. This dataset has been designed to support a variety of applications, including anomaly detection, fault diagnosis, and research in data-driven quality assurance.</p>

<p>A salient feature of this dataset is the presence of high-quality labels. Each crimp force curve is annotated both by a state-of-the-art crimp force monitoring system - capable of binary anomaly detection - and by domain experts who manually classified the curves into detailed quality classes. The expert annotations provide a valuable ground truth for training and benchmarking machine learning models beyond anomaly detection.</p>

<p>The dataset is particularly well-suited for tasks involving time series analysis, such as training and evaluating of machine learning algorithms for quality control and fault detection. It provides a substantial foundation for the development of generalisable, yet domain-specific (crimping), data-driven quality control systems.</p>

<p>The data is stored in a Python pickle file <code>crimp_force_curves.pkl</code>, which is a binary format used to serialize and deserialize Python objects. It can be conveniently loaded into a pandas DataFrame for exploration and analysis using the following command:</p>

<p><code>df = pd.read_pickle("crimp_force_curves.pkl")</code></p>

<p>The DataFrame consists of 2,439 rows (force curves) and 11 columns:</p>

<ul>

<li><strong>CrimpID:</strong> Unique identifier assigned by the crimp force monitoring system as integer.</li>

<li><strong>Wire_cross-section_conductor:</strong> Wire cross-section of the conductor as float [mm²].</li>

<li><strong>Force_curve_raw:</strong>

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落地页

https://doi.org/10.7910/DVN/WBDKN6

许可证

CC0-1.0 (置信:verified_official)

发布年份

2025

发布方

Harvard Dataverse

分发点