Fault diagnosis
This dataset consists of high-dimensional data streams collected from a cyber-physical 118-bus power system, offering a valuable resource for fault diagnosis and classification in large-scale smart grids.
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371 Views
The data set is from the Case Western Reserve University Rolling Bearing data set. SK6205 bearing located at the drive end is selected as the research object, and the acquisition frequency is 12KHz. The fault type is divided into three types, namely inner ring fault, rolling body fault and outer ring fault, and each fault type is divided into three fault sizes: 0.007, 0.014 and 0.021 inches.The length of each sample is 1024 and the repetition rate is 50%
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334 Views
The faulty joint clearance sizes in the study are taken as 0.25 mm and 0.75 mm. The nonfaulty joint clearance size is guaranteed by fine machining (within 0.04 mm). Fifty groups of vibration data are measured per operation condition（normal condition and three mechanical fault conditions）. Therefore, 400 recordings of the three clearance joint faults and normal operating conditions are collected in the end.
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56 Views
This dataset contain the pulse responses of the Sallen-Key bandpass filter circuit and the amplifier board circuit. The test excitation is a 10 us pulse signal with an amplitude of 5 V and a frequency of 5 kHZ that exhibits abundant frequency components. By observing the pulse response, the sampling frequency is set to 5 MHz and the number of sampling points for each sample is fixed at 1000 in Case 1. PSPICE is applied for circuit simulation to set up the circuit fault according to the range of fault component parameter values.
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250 Views
Analysis method of Dissolved gas in transformer oil based on EW Pentagon
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900 Views
The objective of this dataset is the fault diagnosis in diesel engines to assist the predictive maintenance, through the analysis of the variation of the pressure curves inside the cylinders and the torsional vibration response of the crankshaft. Hence a fault simulation model based on a zero-dimensional thermodynamic model was developed. The adopted feature vectors were chosen from the thermodynamic model and obtained from processing signals as pressure and temperature inside the cylinder, as well as, torsional vibration of the engine’s flywheel.
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4803 Views
The data set contains electrical and mechanical signals from experiments on three-phase induction motors. The experimental tests were carried out for different mechanical loads on the induction motor axis and different severities of broken bar defects in the motor rotor, including data regarding the rotor without defects. Ten repetitions were performed for each experimental condition.
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24386 Views
Data from accelerometers mounted on ICE chassis.
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1043 Views
Tenessee Eastman (TE) process simulates actual chemical processes and is widely used as a benchmark in test fault diagnosis and process control. The overall process consists of five operating units: reactor, condenser, vapor-liquid separator, recycle compressor and product stripper. It has standard training and test data sets for fault detection and diagnosis, classification, etc. Each data set is under different operating conditions。
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10760 Views