RI 9639 - Detection of Downed Trolley Lines Using ARC Signature Analysis

The National Institute for Occupational Safety and Health (NIOSH)
Jeffrey Shawn Peterson Gregory P. Cole
Organization:
The National Institute for Occupational Safety and Health (NIOSH)
Pages:
14
File Size:
2370 KB
Publication Date:
Jan 1, 1997

Abstract

The Pittsburgh Research center3 conducted research to study and improve electrical fault detection on coal mine direct-current (dc) trolley systems. A suspended trolley line delivers power at voltages of 300 or 600 V dc to the haulage equipment and other loads. Roof falls or other accidents may force the trolley line down so that an electrical fault current may flow between the trolley line and rail. This fault current could result in localized heating, arcing, and perhaps fire. Such faults are not always preventable by the existing circuit protection because the current magnitude is well below typical operating levels of the trolley system. The research discussed in this report studies the applicability of computerized signal analysis techniques to solve this problem. Tests were conducted at cooperating coal mines. Measurements were taken during normal loading of the trolley system (light, intermediate, and heavy traffic), during induced fault conditions (arcing and bolted faults), and during transitions between the two. These data were then used to train and test a microprocessor-based fault detection algorithm. Later, field tests of the detection algorithm found that it correctly classified the state of the trolley system greater than 95% of the time.
Citation

APA: Jeffrey Shawn Peterson Gregory P. Cole  (1997)  RI 9639 - Detection of Downed Trolley Lines Using ARC Signature Analysis

MLA: Jeffrey Shawn Peterson Gregory P. Cole RI 9639 - Detection of Downed Trolley Lines Using ARC Signature Analysis. The National Institute for Occupational Safety and Health (NIOSH), 1997.

Export
Purchase this Article for $25.00

Create a Guest account to purchase this file
- or -
Log in to your existing Guest account