ORCA-VFD Dataset: Reliability, Degradation, and Remaining Useful Life Data for Variable Frequency Drives

<b>ORCA-VFD is a multi-domain dataset for reliability modeling and remaining useful life (RUL) estimation of variable frequency drives (VFDs).</b><br>The dataset integrates physics-derived sequences, processed fault-injection data, and field-informed degradation patterns to create a unified framework for lifecycle analysis and predictive maintenance research.This Figshare record contains the <b>full synthesized ORCA-VFD lifecycle dataset</b>, including:<b>100,000-hour lifecycle trajectories</b> spanning infant-mortality, useful-life, and wearout phases.<b>Anomaly score sequences</b> derived from physics-informed feature engineering.<b>Core-8 reliability features</b> computed from VFD electrical signatures.<b>Processed versions of physics, fault, and field datasets</b>, transformed into the standardized ORCA-VFD format.<b>Training, validation, and test sets</b> used for remaining useful life model development.<b>Metadata files</b>, including feature definitions and lifecycle documentation.Raw third-party datasets (e.g., Hanke physics data, PMSM fault data) are <b>not redistributed</b> here and are available at their original sources as cited in the ORCA-VFD manuscript.<br>This Figshare package includes only <b>newly created or transformed data</b>, compliant with open data licensing practices.The ORCA-VFD dataset supports research in:predictive maintenancephysics-informed machine learningVFD degradation modelingreliability engineeringRUL predictiondomain adaptation and cross-domain validationeconomic optimization of maintenance actionsThe companion GitHub repository provides the full modeling code, lifecycle synthesis scripts, feature engineering tools, and sample files:<br>https://github.com/gencaddy2/ORCA-VFD