Mechanical Sensing
The study aims to construct a high-quality continuous frame image dataset of laser welding to support the research of automatic welding state detection in intelligent laser welding. The data set is collected by our self-built welding platform and a high-resolution industrial camera. The dataset not only makes up for the shortage of existing laser welding video data, but also provides rich molten pool and welding process context information, which facilitates the development and verification of condition detection algorithms.
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78 Views
Repeated Route Naturalistic Driving Dataset (R2ND2) is a dual-perspective dataset for driver behavior analysis constituent of vehicular data collected using task-specific CAN decoding sensors using OBD port and external sensors, and (b) gaze-measurements collected using industry-standard multi-camera gaze calibration and collection system. Our experiment is designed to consider the variability associated with driving experience that depends on the time of day and provides valuable insights into the correlation of these additional metrics on driver behavior.
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448 Views
This dataset webpage contains datasets of exisiting and proposed models:
- centrifugalpump1.zip
- centrifugalpump2.zip
- centrifugalpump3.zip
B Model of Fault And Short-Circuit Analysis of Centrifugal Pump
presented in my last Speaker Presentation in Conference - 2025*.
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384 Views
Experiment Details:
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1667 Views
Calibration comparison data, including data obtained by calibrating the large deformation sensor using the proposed calibration device suitable for large deformation six-dimensional force sensors, and data obtained by calibrating the same large deformation six-dimensional force sensor using the calibration device suitable for high rigidity six-dimensional force sensors.
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297 Views
Insulation fault detection in rotating machinery using Partial Discharge (PD) has been a hot research topic over the last decades. In recent years, attention has also been paid to low voltage machines, following the advent of wide bandgap semiconductor devices. This paper presents a low-cost, modular, and full-digital PD monitoring device, particularly suitable for deployment in large industrial plants.
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349 Views
Comparative measurements between a digital acquisition system and an analog acquisition system, namely National Instruments CompactRIO.
The dataset includes the measurements of a 10-days accelerated test performed on a tapered bearing (12 rolling elements) mounted on a motor test bench, from the brand-new condition until failure. The test bench was working at 2400 revolution per minute (RPM), and the bearing was preloaded with 4000 N.
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270 Views
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158 Views
The Partial Discharge - Localisation Dataset, abbreviated: PD-Loc Dataset is an extensive collection of acoustic data specifically curated for the advancement of Partial Discharge (PD) localisation techniques within electrical machinery. Developed using a precision-engineered 32-sensor acoustic array, this dataset encompasses a wide array of signals, including chirps, white Gaussian noise, and PD signals.
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1049 Views
New capabilities involving sensors, data collection, and data analysis have enabled innovations in how engineered systems are monitored and maintained. Whereas each new evolution of maintenance philosophies has relied upon the current technological state, this research examines potential future capabilities in the field of prognostics and health management (PHM). PHM algorithms for predicting the estimated time to failure for a system are based on sensor data, physical models, or a combination of both.
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68 Views