CN103674545B - A kind of mechanical fault method for detecting - Google Patents
A kind of mechanical fault method for detecting Download PDFInfo
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- CN103674545B CN103674545B CN201310612051.5A CN201310612051A CN103674545B CN 103674545 B CN103674545 B CN 103674545B CN 201310612051 A CN201310612051 A CN 201310612051A CN 103674545 B CN103674545 B CN 103674545B
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Abstract
A kind of mechanical fault method for detecting of the present invention, rumble spectrum figure finds out the certain vibration frequency that multiple measuring point all has, then sort descending for the vibration amplitude of this certain vibration frequency, finally all fault signature vibration frequencies of this certain vibration frequency and machinery to be measured are compared, find out corresponding mechanical fault reason; Simultaneously, according to the degree of the maximum vibration amplitude determination mechanical fault of this certain vibration frequency, determine according to the measuring point at the maximum vibration amplitude place of this certain vibration frequency the equipment that mechanical fault occurs, determine the direction of fault vibration transmission according to the descending order of each measuring point vibration amplitude.And then effectively monitored a certain specific mechanical fault by the many aspects of special characteristic vibration frequency, decrease the False Rate of detecting fault, effectively improve the accuracy of mechanical fault detecting.
Description
Technical field
The present invention relates to a kind of mechanical Fault Monitoring of HV method, particularly relate to a kind of vibration transducer that utilizes to monitor the condition monitoring system of wind power generating set of gear case, main shaft, generator mechanical fault.
Background technology
In wind power generating set condition monitoring system, whether the frequency produced often through all mechanical vibration measured on each single measuring point is good to judge the mechanical movement situation of wind power generating set, this kind of monitoring mode often causes failing to judge of some mechanical faults and judges by accident, accurate and effective can not monitor mechanical fault in time, great hidden danger has been buried in the safe operation for later stage wind power generating set.
Summary of the invention
The object of the invention is the defect existed for above-mentioned background technology, a kind of a kind of mechanical fault method for detecting for remote monitor supervision area is provided.
For achieving the above object, a kind of mechanical fault method for detecting of the present invention, for monitoring the vibration of gear case, main shaft, generator, comprising:
Step 1: install vibration transducer, to form at least two measuring points at least two positions of tested machinery;
Step 2: the rumble spectrum figure of the corresponding measuring point utilizing vibration transducer to capture, finds out the identical vibration frequency that this corresponding measuring point all monitors;
Step 3: on rumble spectrum figure, sorts by size to the vibration amplitude of the same vibration frequency at least two measuring points;
Step 4: determine the vibration position producing above-mentioned vibration frequency, namely according to the principle of vibration, position is the closer to vibration source, vibrate stronger, the vibration amplitude of mechanical vibration is larger, it can thus be appreciated that, for the measuring point that vibration amplitude is maximum, can know that this measuring point is vibration source or nearest apart from vibration source, and then can determine to produce the concrete vibration position of this vibration frequency;
Step 5: by the direction of transfer of above-mentioned vibration frequency determination mechanical vibration, namely according to the size order of each measuring point vibration amplitude of this frequency, the direction of transfer of this vibration can be known; Due to mechanical vibration meeting off-energy in transmittance process, therefore in transmittance process, mechanical vibration are just more and more weak, and on each measuring point drawn by arrangement, the size order of mechanical vibration amplitude, can know the direction of this vibration frequency vibration passing;
Step 6: predict tested mechanical fault Producing reason, namely specifically encourage according to the vibration correspondence one of a characteristic frequency of mechanical vibration, this impact specifically encouraging proper vibration or specific mechanical accident defect from machinery to produce, so just surveys the reason being out of order and occurring.
In sum, a kind of mechanical fault method for detecting of the present invention, rumble spectrum figure finds out the certain vibration frequency that multiple measuring point all has, then sort descending for the vibration amplitude of this certain vibration frequency, finally all fault signature vibration frequencies of this certain vibration frequency and machinery to be measured are compared, find out corresponding mechanical fault reason; Simultaneously, according to the degree of the maximum vibration amplitude determination mechanical fault of this certain vibration frequency, determine according to the measuring point at the maximum vibration amplitude place of this characteristic frequency the equipment that mechanical fault occurs, determine the direction of fault vibration transmission according to the descending order of each measuring point vibration amplitude.And then effectively monitored a certain specific mechanical fault by the many aspects of special characteristic vibration frequency, decrease the False Rate of detecting fault, effectively improve the accuracy of mechanical fault detecting.
Accompanying drawing explanation
Fig. 1 is a kind of mechanical fault method for detecting of the present invention schematic flow sheet.
Embodiment
By describing technology contents of the present invention, structural attitude in detail, being reached object and effect, hereby exemplify embodiment below and coordinate accompanying drawing to be explained in detail.
Refer to Fig. 1, the invention provides a kind of mechanical fault method for detecting, it comprises:
Step 1: install vibration transducer, to form at least two measuring points at least two positions of tested machinery;
Step 2: the rumble spectrum figure of the corresponding measuring point utilizing vibration transducer to capture, finds out the identical vibration frequency that this corresponding measuring point all monitors;
Step 3: on rumble spectrum figure, sorts by size to the vibration amplitude of the same vibration frequency on these at least two measuring points;
Step 4: determine the vibration position producing above-mentioned vibration frequency, particularly, namely according to the principle of vibration, position is the closer to vibration source, and vibrate stronger, the amplitude of mechanical vibration is larger, it can thus be appreciated that, for the measuring point that vibration amplitude is maximum, can know that this measuring point is vibration source or nearest apart from vibration source, and then can determine to produce the concrete vibration position of this vibration frequency;
Step 5: by the direction of transfer of above-mentioned vibration frequency determination mechanical vibration, particularly, namely according to the size order of each measuring point vibration amplitude of this vibration frequency, the direction of transfer of this vibration can be known; Due to mechanical vibration meeting off-energy in transmittance process, therefore in transmittance process, mechanical vibration are just more and more weak, and on each measuring point drawn by arrangement, the size order of mechanical vibration amplitude, can know the direction of this vibration frequency vibration passing;
Step 6: predict tested mechanical fault Producing reason, particularly, namely specifically encourage according to the vibration correspondence one of a characteristic frequency of mechanical vibration, this impact specifically encouraging proper vibration or specific mechanical accident defect from machinery to produce, so just survey the reason being out of order and occurring.
In step 2, rumble spectrum figure is obtained vibration raw data by data processing module after FFT data transformation.
In sum, a kind of mechanical fault method for detecting of the present invention, rumble spectrum figure finds out the certain vibration frequency that multiple measuring point all has, then sort descending for the vibration amplitude of this certain vibration frequency, finally all fault signature vibration frequencies of this certain vibration frequency and machinery to be measured are compared, find out corresponding mechanical fault reason; Simultaneously, according to the degree of the maximum vibration amplitude determination mechanical fault of this certain vibration frequency, determine according to the measuring point at the maximum vibration amplitude place of this certain vibration frequency the equipment that mechanical fault occurs, determine the direction of fault vibration transmission according to the descending order of each measuring point vibration amplitude.And then effectively monitored a certain specific mechanical fault by the many aspects of special characteristic vibration frequency, decrease the False Rate of detecting fault, effectively improve the accuracy of mechanical fault detecting.
Above-described technical scheme is only the preferred embodiment of a kind of mechanical fault method for detecting of the present invention, and any equivalent transformation of doing on a kind of mechanical fault method for detecting of the present invention basis or replacement are included within the scope of the claim of this patent.
Claims (3)
1. a mechanical fault method for detecting, for monitoring the vibration of gear case, main shaft, generator, comprising:
Step 1: install vibration transducer, to form at least two measuring points at least two positions of tested machinery;
Step 2: the rumble spectrum figure of the corresponding measuring point utilizing vibration transducer to capture, finds out the identical vibration frequency that this corresponding measuring point all monitors;
Step 3: on rumble spectrum figure, sorts by size to the vibration amplitude of the same vibration frequency at least two measuring points;
Step 4: determine the vibration position producing above-mentioned vibration frequency, namely according to the principle of vibration, position is the closer to vibration source, vibrate stronger, the vibration amplitude of mechanical vibration is larger, it can thus be appreciated that, for the measuring point that vibration amplitude is maximum, can know that this measuring point is vibration source or nearest apart from vibration source, and then can determine to produce the concrete vibration position of this vibration frequency;
Step 5: by the direction of transfer of above-mentioned vibration frequency determination mechanical vibration, namely according to the size order of each measuring point vibration amplitude of this vibration frequency, the direction of transfer of these mechanical vibration can be known; Due to mechanical vibration meeting off-energy in transmittance process, therefore in transmittance process, mechanical vibration are just more and more weak, and on each measuring point drawn by arrangement, the size order of mechanical vibration amplitude, can know the direction of this vibration frequency vibration passing;
Step 6: predict tested mechanical fault Producing reason, namely specifically encourage according to the mechanical vibration correspondence one of a characteristic frequency of mechanical vibration, this impact specifically encouraging proper vibration or specific mechanical accident defect from machinery to produce, so just surveys the reason being out of order and occurring.
2. a mechanical fault method for detecting, for monitoring the vibration of gear case, bearing, generator, comprising:
Step 1: install vibration transducer, to form at least two measuring points at least two positions of tested machinery;
Step 2: the rumble spectrum figure of the corresponding measuring point utilizing vibration transducer to capture, finds out the identical vibration frequency that this corresponding measuring point all monitors;
Step 3: on rumble spectrum figure, sorts by size to the vibration amplitude of the same vibration frequency at least two measuring points;
Step 4: by the direction of transfer of above-mentioned vibration frequency determination mechanical vibration, namely according to the size order of each measuring point vibration amplitude of this frequency, the direction of transfer of these mechanical vibration can be known; Due to mechanical vibration meeting off-energy in transmittance process, therefore in transmittance process, mechanical vibration are just more and more weak, and on each measuring point drawn by arrangement, the size order of mechanical vibration amplitude, can know the direction of this vibration frequency vibration passing;
Step 5: determine the vibration position producing above-mentioned vibration frequency, namely according to the principle of vibration, position is the closer to vibration source, vibrate stronger, the vibration amplitude of mechanical vibration is larger, it can thus be appreciated that, for the measuring point that vibration amplitude is maximum, can know that this measuring point is vibration source or nearest apart from vibration source, and then can determine to produce the concrete vibration position of this vibration frequency;
Step 6: predict tested mechanical fault Producing reason, namely specifically encourage according to the vibration correspondence one of a characteristic frequency of mechanical vibration, this impact specifically encouraging proper vibration or specific mechanical accident defect from machinery to produce, so just surveys the reason being out of order and occurring.
3. a kind of mechanical fault method for detecting according to claim 1, is characterized in that: in step 2, and rumble spectrum figure is obtained vibration raw data by data processing module after FFT data transformation.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104931255A (en) * | 2015-06-04 | 2015-09-23 | 中国航空工业集团公司上海航空测控技术研究所 | Method for evaluating whether fault feature parameter of gearbox good or bad |
| CN107304750B (en) * | 2016-04-18 | 2019-04-02 | 北京金风科创风电设备有限公司 | Abnormal sound detection method and system for tower of wind generating set |
| CN107063428A (en) * | 2017-04-19 | 2017-08-18 | 广东电网有限责任公司电力科学研究院 | The fault characteristic frequency display methods and device of a kind of on-line vibration monitoring system |
| CN109765038B (en) | 2017-11-10 | 2021-08-10 | 财团法人工业技术研究院 | Degradation detection method for structural member applying structural unit |
| CN112648765B (en) * | 2020-12-15 | 2022-04-12 | 美的威灵电机技术（上海）有限公司 | Refrigeration device |
| CN115931319B (en) * | 2022-10-27 | 2023-10-10 | 圣名科技(广州)有限责任公司 | Fault diagnosis method, device, electronic equipment and storage medium |
| CN116256054B (en) * | 2023-05-15 | 2023-08-04 | 广东电网有限责任公司阳江供电局 | Fault monitoring method, system, equipment and medium for bridge arm reactor |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1050442A (en) * | 1990-10-15 | 1991-04-03 | 航空航天工业部第六○八研究所 | Trouble testing technique with multiple sensors, resonance and demodulation |
| US6053047A (en) * | 1998-09-29 | 2000-04-25 | Allen-Bradley Company, Llc | Determining faults in multiple bearings using one vibration sensor |
| CN1430063A (en) * | 2001-12-31 | 2003-07-16 | 岩壶卓三 | Diagnosing system for abnormity of rotary machine |
| CN101526431A (en) * | 2009-04-13 | 2009-09-09 | 南京大学 | Amplitude spectrum array waterfall plot for shaft vibration analysis of starting-stopping process |
| CN101685042A (en) * | 2008-09-25 | 2010-03-31 | 上海宝钢工业检测公司 | On-line monitoring method of cold rolled heating furnace roller running state |
| CN101929917A (en) * | 2010-03-24 | 2010-12-29 | 陈先利 | Fault diagnosis method for rotary machine |
| CN102022143A (en) * | 2010-11-24 | 2011-04-20 | 华北电力大学 | Method for analyzing low-frequency vibration stability of steam turbine generator unit in real time |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6694816B2 (en) * | 2000-12-06 | 2004-02-24 | Nsk Ltd. | Apparatus and method for evaluating rotational accuracy of rolling bearing and rolling bearing evaluated by the rotational accuracy evaluation method, and apparatus and method for radial vibration of rotating body and rotation unit with rotating body evaluated by the radial vibration evaluation method |
-
2013
- 2013-11-26 CN CN201310612051.5A patent/CN103674545B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1050442A (en) * | 1990-10-15 | 1991-04-03 | 航空航天工业部第六○八研究所 | Trouble testing technique with multiple sensors, resonance and demodulation |
| US6053047A (en) * | 1998-09-29 | 2000-04-25 | Allen-Bradley Company, Llc | Determining faults in multiple bearings using one vibration sensor |
| CN1430063A (en) * | 2001-12-31 | 2003-07-16 | 岩壶卓三 | Diagnosing system for abnormity of rotary machine |
| CN101685042A (en) * | 2008-09-25 | 2010-03-31 | 上海宝钢工业检测公司 | On-line monitoring method of cold rolled heating furnace roller running state |
| CN101526431A (en) * | 2009-04-13 | 2009-09-09 | 南京大学 | Amplitude spectrum array waterfall plot for shaft vibration analysis of starting-stopping process |
| CN101929917A (en) * | 2010-03-24 | 2010-12-29 | 陈先利 | Fault diagnosis method for rotary machine |
| CN102022143A (en) * | 2010-11-24 | 2011-04-20 | 华北电力大学 | Method for analyzing low-frequency vibration stability of steam turbine generator unit in real time |
Non-Patent Citations (2)
| Title |
|---|
| 基于噪声测量的主轴承间隙状态监测;吕琛 等;《振动与冲击》;20030930;第22卷(第3期);第15，33-36页 * |
| 基于振动谱图像识别的故障诊断方法研究;林勇;《中国博士学位论文全文数据库 信息科技辑》;20110315(第03期);第I140-32页 * |
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