Datasets
Standard Dataset
Partial Discharge detection
- Citation Author(s):
- Submitted by:
- Daniel Pinardi
- Last updated:
- Wed, 06/26/2024 - 06:13
- DOI:
- 10.21227/57zj-4y32
- Data Format:
- License:
Abstract
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. The PD monitoring device relies on a PD conditioning front-end, an acquisition board connected via a daisy chain topology to an interface board, which communicates via Universal Serial Bus with a personal computer. The PD conditioning front-end was initially simulated using PSpice, then built and tested together with the entire acquisition system.Preliminary tests conducted on a proof-of-concept laboratory setup, which included a low voltage induction motor, produced promising results.
Each file contains two channels:
channel 1 -> partial dischargeĀ
channel 2 -> reference test signal (50 Hz)
For the "LeCroy oscilloscope", the sampling frequency is 20 MHz and the duration of each recording is 2*10^6 samples (0.1 s).
For the "digital DAQ system", the sampling frequency is 48 kHz and the duration of each recording is about 7.7*10^5 samples (16 s).
Each serie features 9 measurements, with the following test voltage: 1 kV, 1.1 kV, 1.2 kV, 1.3 kV, 1.35 kV, 1.4 kV, 1.5 kV, 1.6 kV, 2.0 kVĀ