Mechanical Sensing
The dataset has 150 three-second sampling motor current signals from each synthetically-prepared motors. There are five motors with respective fault condition - bearing axis deviation (F1), stator coil inter-turn short circuit (F2), rotor broken strip (F3), outer bearing ring damage (F4), and healthy (H). The motors are run under five coupling loads - 0, 25, 50, 75, and 100%. The sampling signals are collected and processed into frequency occurrence plots (FOPs). Each image has a label, for example F2_L50_130, where F2 is the fault condition, L50 is the coupling load condition.
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As the uploaded files are .opj format and opened by OriginLab, the uploaded files have contained the corresponding figures.
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An emulator for the Viessmann Vitorond 200 Gas Fired Boiler VD2 Series 380 dataset was created in Matlab/Simulink based on the Simscape boiler model.
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DECA is widely used as a protocol to describe the fuel economy and battery load of vehicles. Meanwhile, Carsim is universally accepted as a reliable tool to analyze vehicle dynamics. Therefore, it is of great importance to simulate the DECA with Carsim and provide a proper way to measure the virtual fuel economy of vehicles. It may also contribute to explement related experiments.
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This data is the history data of an IRB 1200 grinding robot. It can be used to do the predictive analysis of the robot.
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Our research addresses time-dependent hysteresis effects in adhesive packaged MEMS pressure sensors.
Typically calibrated inside a certain temperature and pressure range, they provide precise pressure measurements, given
that certain setting times after temperature changes are maintained. Signal errors arise when temperature changes
induce time-dependent viscoelastic relaxation in the adhesive which cannot be compensated by calibration. High precision
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Because of the demand for seamless indoor and outdoor positioning of mass market applications, several simple and efficient pedestrian dead reckoning (PDR) systems have been introduced. However, the performance of PDR system would significantly decrease with the increase of recursion time, due to the influence of sensors and model error. This paper discusses the overview of pedestrian navigation system and the implementation of key techniques of PDR, then proposes an improved PDR system with precise displacement estimation based on time-differenced carrier phase (TDCP) technique.
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The file contains two arrays
inputs: contains the values of the mechanical parameters of the suspension ordered as kwh ,ksus, kseat, csus, cseat, V
output: contains the corresponding value of the vibration transmitted by the vehicle suspension system
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This is the maintenance service dataset collected in a smart water dispenser company in the year of 2017.
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