分享
[1]张继旺,张来斌,段礼祥,等.基于多键相的变转速下旋转叶片振动监测方法[J].油气储运,2019,38(02):185-190+213.[doi:10.6047/j.issn.1000-8241.2019.02.010]
 ZHANG Jiwang,ZHANG Laibin,Duan Lixiang,et al.A multi-phase based vibration monitoring method for rotating blade at variable speed[J].Oil & Gas Storage and Transportation,2019,38(02):185-190+213.[doi:10.6047/j.issn.1000-8241.2019.02.010]
点击复制

基于多键相的变转速下旋转叶片振动监测方法

参考文献/References:

[1] 高义,金硕,张泽,等. 压缩机组故障统计及故障树分析[J]. 油气 储运,2017,36(12):1457-1461,1466.
GAO Y,JIN S,ZHANG Z,et al. Fault statistics and fault tree analysis on compressor set[J]. Oil & Gas Storage and Transportation,2017,36(12):1457-1461,1466.
[2] LIN J,HU Z,CHEN Z S,et al. Sparse reconstruction of blade tip-timing signals for multi-mode blade vibration monitoring[J]. Mechanical Systems and Signal Processing,2016,81:250-258.
[3] GUO H T,DUAN F J,ZHANG J L. Blade resonance parameter identification based on tip-timing method without the once-per revolution sensor[J]. Mechanical Systems and Signal Processing, 2016,66/67:625-639.
[4] RIGOSI G,BATTIATO G,BERRUTI T M. Synchronous vibration parameters identification by tip timing measurements[J]. Mechanics Research Communications,2016,79:7-14.
[5] 郭永华. 离心式压缩机喘振原因及其预防措施[J]. 油气储运, 2012,31(3):238-239,247.
GUO Y H. Surge of centrifugal compressor and prevention measures[J]. Oil & Gas Storage and Transportation,2012,31(3): 238-239,247.
[6] TANG J L,SOUA S,MARES C,et al. An experimental study of acoustic emission methodology for in service condition monitoring of wind turbine blades[J]. Renewable Energy,2016, 99:170-179.
[7] TALBOT J,WANG Q,BRADY N,et al. Offshore wind turbine blades measurement using Coherent Laser Radar[J]. Measurement,2016,79:53-65.
[8] ROTHBERG S J,ALLEN M S,CASTELLINI P,et al. An international review of laser Doppler vibrometry:Making light work of vibration measurement[J]. Optics and Lasers in Engineering,2017,99:11-22.
[9] TAVAKOLPOUR-SALEH A R,SETOODEH A R, GHOLAMZADEH M. A novel multi-component straingauge external balance for wind tunnel tests:Simulation and experiment[J]. Sensors & Actuators A:Physical,2016,247: 172-186.
[10] MADHAVAN S,JAIN R,SUJATHA C,et al. Vibration based damage detection of rotor blades in a gas turbine engine[J]. Engineering Failure Analysis,2014,46:26-39.
[11] 范博楠,张玉波,王海斗,等. 基于叶尖定时技术的叶轮叶片动态监测研究现状[J]. 振动与冲击,2016,35(5):96-102.
FAN B N,ZHANG Y B,WANG H D,et al. Research status for dynamic monitoring impellers of blades based on blade tiptiming[ J]. Journal of Vibration and Shock,2016,35(5): 96-102.
[12] WU F,CHEN X P,WANG J,et a l . R esearch and implementation of blade tip timing vibration monitoring method based on fiber Bragg magnetic coupling sensors[J]. Advanced Materials Research,2013,823:232-235.
[13] BATTIATO G,FIRRONE C M,BERRUTI T M.
Forced response of rotating bladed disks:Blade tip-timing measurements[J]. Mechanical Systems and Signal Processing, 2017,85:912-926.
[14] JOUSSELIN O,RUSSHARD P,BONELLO P. A method for establishing the uncertainty levels for aero-engine blade tip amplitudes extracted from blade tip timing data[C]. London: 10th International Conference on Vibrations in Rotating Machinery,2012:211-220.
[15] 陈庆光,王超. 基于叶尖定时法的旋转叶片振动监测技术研究 与应用进展[J]. 噪声与振动控制,2016,36(1):1-4,37.
CHEN Q G,WANG C. Advances in research and application of vibration monitoring technology for rotating blades based on blade tip timing method[J]. Noise and Vibration Control,2016, 36(1):1-4,37.
[16] GUO Y B,LI G N,CHEN H X,et al. Development of a virtual variable-speed compressor power sensor for variable refrigerant flow air conditioning system[J]. International Journal of Refrigeration,2016,74:73-85.
[17] MARC E Z,ZUCCA M E. Pneumatic device for remote control and monitoring of a variable-speed, reversible diesel engine: CA897003[P]. 1972-04-04.
[18] GRADNITZER E,KLAUTSCHEK H. Electrical short-circuit monitoring arrangement for variable-speed, three-phase motors, including their feed lines:US4682263[P]. 1987-07-21.
[19] WAKUI T,YOKOYAMA R. Wind speed sensorless performance monitoring based on operating behavior for standalone vertical axis wind turbine[J]. Renewable Energy,2013, 53(9):49-59.
[20] HUANG H,BADDOUR N,LIANG M. Bearing fault diagnosis under unknown time-varying rotational speed conditions via multiple time-frequency curve extraction[J]. Journal of Sound and Vibration,2018,414:43-60.
[21] WANG T Y,LIANG M,LI J Y,et al. Bearing fault diagnosis under unknown variable speed via gear noise cancellation and rotational order sideband identification[J]. Mechanical Systems & Signal Processing,2015,62/63:30-53.
[22] GUO Y B,LI G N,CHEN H X,et al. Development of a virtual variable-speed compressor power sensor for variable refrigerant flow air conditioning system[J]. International Journal of Refrigeration,2016,74:73-85.
[23] YANG J,SONG D R,DONG M,et al. Comparative studies on control systems for a two-blade variable-speed wind turbine with a speed exclusion zone[J]. Energy,2016,109:294-309.
[24] 王维民,任三群,陈立芳,等. 基于键相插值法的叶片振动测量 研究[J]. 振动、测试与诊断,2017,37(2):361-365,409.
WANG W M,REN S Q,CHEN L F,et al. The blade vibration measurement research based on the key phase interpolation method[J]. Journal of Vibration,Measurement & Diagnosis, 2017,37(2):361-365,409.

相似文献/References:

[1]张继旺 张来斌 段礼祥 王耀楠.基于多键相的变转速下旋转叶片振动监测方法[J].油气储运,2018,37(预出版):1.
 ZHANG Jiwang,ZHANG Laibin,DUAN Lixiang,et al.A multi-phase based vibration monitoring method for rotating blade at variable speed[J].Oil & Gas Storage and Transportation,2018,37(02):1.

备注/Memo

基金项目:国家重点研发计划资助项目“烟机叶片运行状态监测技术研究”,2016YFF0203302-02;国家自然科学基金资助项目“基于迁移学习的往复压缩机故障诊断机制及预测预警模型研究”,51674277;国家重点研发计划资助项目“罐区动力设备智能诊断及预测技术研究”,2017YFC0805803。

作者简介:张继旺,男,1991 年生,在读博士生,2015 年硕士毕业于中国石油大学(北京)安全工程专业,现主要从事动设备状态监测与故障诊断方向的研究工作。地址:北京市昌平区府学路18 号,102249。电话:13401103484。Email:121889248@qq.com

更新日期/Last Update: 2019-02-20