Mechanical Sensing

To support research on multimodal speech emotion recognition (SER), we developed a dual-channel emotional speech database featuring synchronized recordings of bone-conducted (BC) and air-conducted (AC) speech. The recordings were conducted in a professionally treated anechoic chamber with 100 gender-balanced volunteers. AC speech was captured via a digital microphone on the left channel, while BC speech was recorded from an in-ear BC microphone on the right channel, both at a 44.1 kHz sampling rate to ensure high-fidelity audio. 

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.

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.

This dataset webpage contains datasets of exisiting and proposed models:

1. centrifugalpump1.zip
2. centrifugalpump2.zip
3. centrifugalpump3.zip

Presented in my LAST (may be) keynote Speaker Presentation in Conference -  2025*.   

Experiment Details:

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.

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. The proposed innovative solution allows us to implement a monitoring network, ensuring complete coverage in large industrial plants and continuous monitoring of critical machinery.

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.