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Case Western Reserve University Bearing Datasets
The Case Western Reserve University Bearing Datasets are used to evaluate the performance of the proposed framework. -
Simulation results
The dataset used in this paper is a set of simulation results for distinguishing between physical faults and cyberattacks. -
Cyber-physical system model
The dataset used in this paper is a cyber-physical system model, which comprises of 6 layers: physical layer, control layer, communication layer, network layer, supervisory... -
CWRU and IMS rolling element bearings datasets
The CWRU and IMS rolling element bearings datasets are used for the proposed frameworks. -
Motor Bearing Fault Dataset
The dataset is used for fault diagnosis, medical monitoring, and behavior recognition. -
CWRU bearing dataset
The CWRU bearing dataset is used for fault diagnosis applications. It contains data from four different loads, which are treated as four different working conditions. -
Slab Track dataset
The slab track dataset is used for simulation-to-real transfer of fault diagnosis. The dataset consists of acceleration signals collected from acceleration sensors installed on... -
CWRU dataset
The CWRU dataset has been one of the most commonly used open-source datasets in UDA research. A diagram illustrating the experimental setup is provided in Fig. 5 [38]. In this... -
WHELL dataset
The Wheelset Bearing Dataset (WHELL) dataset, which simulated high-speed rail wheelset bearings. -
PEMFC dataset
The Proton Exchange Membrane Fuel Cell (PEMFC) dataset, which simulated a real fuel cell. -
Tennessee-Eastman (TE) dataset
The Tennessee-Eastman (TE) chemical process, which simulated a real chemical production process. It has been widely used as a benchmark process to evaluate fault detection and... -
Urban Rail Train Transmission System Fault Diagnosis Dataset
The dataset is used for urban rail train transmission system fault diagnosis, and it is a collection of signals from 21 channels with a sampling frequency of 64kHZ. -
HPR1000 Reactor Monitoring Parameters
The dataset used in this paper is a collection of monitoring parameters for a nuclear reactor, including temperature, flow rate, pressure, and level of various components. The... -
Paderborn University (PU) dataset
The Paderborn University (PU) dataset is used to evaluate the proposed Multi-Scale Graph Convolution Filtering (MSGCF) method for few-shot fault diagnosis in industrial...
