A computerised sensor based diagnostic maintenance system for continuous mining machine hydraulics

Author

Mitchell, Julie

Author_Institution

US Bur. of Mines, Pittsburgh, PA, USA

fYear

1992

fDate

4-9 Oct. 1992

Firstpage

2020

Abstract

The US Bureau of Mines has developed an expert knowledge based system to diagnose hydraulic problems on the Bureau´s testbed Joy 16CM continuous mining machine. The author describes this computerised, sensor-based diagnostic maintenance tool and its components. The diagnostic system is interfaced to machine-based sensors which monitor various hydraulic system parameters, such as pressures, flows, temperatures, fluid level, and ferrous debris present in the oil. The status of these parameters is updated periodically and transmitted via a distributed data acquisition interface to a remote PC location. At the PC level, a software interface accepts the sensor information, translates it, and sends it to the diagnostic knowledge base. All diagnostic decisions are based on this sensor information. The various fault tests conducted on the testbed mining machine using this diagnostic maintenance system are discussed, and results are given.<>

Keywords

computerised instrumentation; data acquisition; electric sensing devices; hydraulic systems; knowledge based systems; maintenance engineering; microcomputer applications; mining; Joy 16CM continuous mining machine; US Bureau of Mines; computerised sensor; continuous mining machine hydraulics; diagnostic maintenance system; distributed data acquisition interface; expert knowledge based system; fault tests; ferrous debris; flows; fluid level; pressures; remote PC location; software interface; temperatures; Computerized monitoring; Condition monitoring; Data acquisition; Hydraulic systems; Knowledge based systems; Petroleum; Remote monitoring; Sensor systems; System testing; Temperature sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Society Annual Meeting, 1992., Conference Record of the 1992 IEEE

Conference_Location

Houston, TX, USA

Print_ISBN

0-7803-0635-X

Type

conf

DOI

10.1109/IAS.1992.244202

Filename

244202