煤矿电牵引采煤机智能诊断系统的设计分析 : = Design of Intelligent Diagnosis System for Electric Traction Shearer in Coal Mine

通过介绍电牵引采煤机的研究及发展方向,针对3LS型电牵引采煤机的具体故障特征,以专家对煤矿现场维护经验和专业知识系统的推理能力为基础,分析了基于CLIPS的开发平台3LS型电牵引采煤机故障诊断系统。该系统运行良好可以帮助维护人员诊断故障,节省维护时间并提高电牵引采煤机维修能力,它有助于提高电牵引采煤机的操控性能和安全可靠性。.

By introducing the research and development direction of electric traction shearer, aiming at the specific fault characteristics of 3 LS electric traction shearer and based on the reasoning ability of experts on the field maintenance experience and professional knowledge system of coal mine, a fault diagnosis system of 3 LS electric traction shearer based on CLIPS is put forward. The theory shows that the system runs well and can help to maintain.Personnel diagnose fault, save maintenance time and improve maintenance ability of electric traction shearer. It is helpful to improve the control performance and safety and reliability of electric traction shearer..

Medienart:

E-Artikel

Erscheinungsjahr:

2019-12-31

2019

Erschienen:

2019-12-31

Enthalten in:

Zur Gesamtaufnahme - year:2019

Enthalten in:

Ji xie guan li kai fa - (2019), 12 vom: 31. Dez., Seite 126-127

Original Letters: Enthalten in 机械管理开发 (DE-600)2998914-0 (DE-600)2998914-0 山西省太原市

Reihe:

China Academic Journals (CAJ), C, 理工C(机电航空交通水利建筑能源) = Architecture/ Energy/ Traffic/ Electromechanics, etc

China Academic Journals (CAJ), B, 理工B(化学化工冶金环境矿业) = Chemistry/ Metallurgy/ Environment/ Mine Industry

China Academic Journals (CAJ), I, 电子技术及信息科学 = Electronic Technology & Information Science

Sprache:

Chinesisch

Weiterer Titel:

Design of Intelligent Diagnosis System for Electric Traction Shearer in Coal Mine

Beteiligte Personen:

李挺 [VerfasserIn]

Links:

oversea.cnki.net [lizenzpflichtig]

Themen:

山西沁东能源有限公司
工业技术
智能决策
煤矿开采
理工B(化学化工冶金环境矿业)
理工C(机电航空交通水利建筑能源)
电子技术及信息科学
矿业工程
矿山机械的电力装备与自动化
矿山电工
系统诊断
采煤机
Architecture/ Energy/ Traffic/ Electromechanics, etc
Automation Technology
Chemistry/ Metallurgy/ Environment/ Mine Industry
Coal mining
Electronic Technology & Information Science
Intelligent decision
Mining Engineering
Shearer
System diagnosis

Anmerkungen:

Author info:Li Ting;Shanxi Qindong Energy Co., Ltd

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

CAJ646891332