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[博士生国际交流】臧廷朋参加高水平国际会议汇报

发布时间:2015-11-30 点击数:

[博士生国际交流】臧廷朋参加高水平国际会议汇报

1汇报安排

题 目:参加 IMECE 2015国际会议总结报告会

时 间:2015年11月30日(周一)下午19:00–19:30

地 点:西二楼 东121

报 告 人:博1201班 臧廷朋 学号:4112001012指导教师:温广瑞 教授

2参会论文信息

会议名称:ASME IMECE 2015

会议日期:13-19 November, 2015

会议地点:Houston, Texas, USA

会议简介:ASME’s International Mechanical Engineering Congress and Exposition (IMECE) is the largest interdisciplinary mechanical engineering meeting in the world. IMECE plays a significant role in stimulating innovation from basic discovery to translational application. It fosters new collaborations that engage stakeholders and partners not only from academia, but also from national laboratories, industry, research settings, and funding bodies. Among the 4,000 attendees from 75+ countries are mechanical engineers in advanced manufacturing, aerospace, advanced energy, fluids engineering, heat transfer, design engineering, materials and energy recovery, applied mechanics, power, rail transportation, nanotechnology, bioengineering, internal combustion engines, environmental engineering, and more.

3 参会论文信息

Tittle: Application of Speed Transform to Diagnosis of Rotating Machinery with Varying Speeds

Author:Tingpeng Zang, Guangrui Wen,Guanghua Xu

Abstract- The rotor startup vibration signals carry abundant dynamic information of the machinery and are very useful for feature extraction and potential early fault diagnosis. Due to the non-stationary and transient nature of the signals in speed up process, the traditional diagnostic methods that have been put forward based on stationary assumption are no longer satisfactory. This paper proposes a new Speed Transform based method for the fault diagnosis of rotating machinery in variable speed. Speed Transform decomposes a complicated signal over a basis of elementary oscillatory functions, whose frequencies follow the speed variation. The effectiveness of the proposed method is demonstrated by both simulated signal and startup vibration signal collected from a rotor system with early rub-impact fault. Analyzed results showed that the proposed method could effectively extract fault features of the rotor under varying speed condition.

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