CN103867475B - Birotor axial flow blower on-line operation condition detection method - Google Patents
Birotor axial flow blower on-line operation condition detection method Download PDFInfo
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- CN103867475B CN103867475B CN201210549874.3A CN201210549874A CN103867475B CN 103867475 B CN103867475 B CN 103867475B CN 201210549874 A CN201210549874 A CN 201210549874A CN 103867475 B CN103867475 B CN 103867475B
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Abstract
The invention discloses a kind of birotor axial flow blower on-line operation condition detection method, i.e. this method is according to the feature of axial flow blower, vibration monitor system secondary meter gathers vibration of bearings speed virtual value and bearing impact mean value, and at the bars position installation vibration acceleration sensor of air channel outer wall, for detecting gusset vibration velocity virtual value, axial flow blower for rigidity or flexible foundation, judge axial flow blower normal operation, abnormal state and malfunction respectively according to analyzing the data obtaining, obtain axial flow blower on-line operation situation.This detection method can the on-line operation state of accurate assurance birotor axial flow blower, this method is simple, and detection equipment is installed simple, easy to operate, it is ensured that axial flow blower properly functioning.
Description
Technical field
The present invention relates to a kind of birotor axial flow blower on-line operation condition detection method.
Background technology
Axial flow blower is widely used in each field, is pumped the gas medium of manufacturing technique requirent by air channel, and usual birotor axial flow blower integral installation is in air channel, and impeller is arranged on supporting bearing base both sides, and bearing block is fixed on the gusset in air channel.The general axial flow blower producing key position is fitted with on-line monitoring system, and the vibration of monitoring axial flow blower, the isoparametric variation tendency of temperature, to guarantee the properly functioning of axial flow blower.But on-line monitoring system is expensive, and install and operation complexity, improve production cost.Other most of axial flow blower is all fitted without monitoring device, there is certain potential safety hazard.Simultaneously existing vibration detection standard requires effectively to detect the vibration parameters at bearing block position, and the bearing block of axial flow blower is generally mounted in air channel, thus the vibration parameters detection at bearing block position exists certain difficulty, the on-line operation state of this type of axial flow blower is caused to hold.
Content of the invention
The technical problem to be solved is to provide a kind of birotor axial flow blower on-line operation condition detection method, utilize this detection method can hold the on-line operation state of birotor axial flow blower in real time, this method is simple, detection equipment is installed simple, easy to operate, it is ensured that axial flow blower properly functioning.
For solving above-mentioned technical problem, birotor axial flow blower on-line operation condition detection method of the present invention comprises the steps:
Be adhesively fixed on step one, axial flow blower bearing block vibration acceleration sensor in advance, draws line, is exported to control room by secondary meter, selected secondary meter output interface, directly uses waveform analyzer detection vibration of bearings speed virtual value gzWith bearing impact mean value p；
Step 2, selected axial flow blower bearing block gusset measuring point, axial flow blower bearing seat is in air channel and is located on air flue rib plates, measuring point is set in the bars position of air channel outer wall and is located along the oblique both sides, air channel of bearing block, vibration acceleration sensor is installed on measuring point, uses the vibration velocity virtual value g of waveform analyzer detection air flue rib platesj；
Step 3, the axial flow blower for rigid foundation, online monitoring system secondary meter detects data vibration velocity virtual value gzDuring≤2.8mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 2.8 mm/s < gzDuring≤4.5mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gz>4.5mm/s when, show axial flow blower fault, need maintenance down; During bearing impact mean value p≤1.2, showing that axial flow blower running status is normal, bearing impact mean value is 1.2<p≤3.0 o'clock, are attention state, show that bearing is abnormal, need to change oil, clean, and bearing impacts mean value p>When 3.0, show that raceway is abnormal, replacing process need to be shut down; Air flue rib plates measures vibration velocity virtual value gjDuring≤0.8mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 0.8 < gjDuring≤1.5mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gj> 1.5mm/s when, need maintenance down；
Step 4, the axial flow blower for flexible foundation, online monitoring system secondary meter detects data vibration velocity virtual value gzDuring≤4.5mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 4.5 mm/s < gzDuring≤7.1mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gz>7.1mm/s when, show axial flow blower fault, need maintenance down; During bearing impact mean value p≤1.2, showing that axial flow blower running status is normal, bearing impact mean value is 1.2<p≤3.0 o'clock, are attention state, show that bearing is abnormal, need to change oil, clean, and bearing impacts mean value p>When 3.0, show that raceway is abnormal, replacing process need to be shut down; Air flue rib plates measures vibration velocity virtual value gjDuring≤1.5mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 1.5 mm/s < gjDuring≤2.8mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gj> 2.8mm/s when, need maintenance down.
Owing to birotor axial flow blower on-line operation condition detection method of the present invention have employed technique scheme, i.e. this method is according to the feature of axial flow blower, detection bearing block online monitoring system secondary meter vibration data and at the bars position of air channel outer wall and along oblique both sides, the air channel measuring points detection of bearing block, each measuring point arranges vibration acceleration sensor, using the output signal of each vibration acceleration sensor of waveform analyzer detection, measurement obtains the vibration velocity virtual value of bearing block and the vibration velocity virtual value of bearing impact mean value and gusset；For the axial flow blower of rigidity or flexible foundation, judge axial flow blower normal operation, abnormal state and malfunction respectively according to analyzing the data obtaining, obtain axial flow blower on-line operation situation.This detection method can hold the on-line operation state of birotor axial flow blower in real time, and this method is simple, and detection equipment is installed simple, easy to operate, it is ensured that axial flow blower properly functioning.
Brief description
The present invention is described in further detail with embodiment below in conjunction with the accompanying drawings:
Fig. 1 is the schematic diagram that birotor axial flow blower on-line operation condition detection method measuring point of the present invention sets；
Fig. 2 is that the A-A of Fig. 1 is to sectional view.
Detailed description of the invention
Birotor axial flow blower on-line operation condition detection method of the present invention comprises the steps:
Be adhesively fixed on step one, axial flow blower bearing block vibration acceleration sensor in advance, draws line, is exported to control room by secondary meter, selected secondary meter output interface, directly uses waveform analyzer detection vibration of bearings speed virtual value gzWith bearing impact mean value p；
Step 2, as depicted in figs. 1 and 2, selected axial flow blower bearing block gusset measuring point, axial flow blower 1 bearing block 2 is positioned at air channel 3 and is located on air flue rib plates 4, the 5th, measuring point 6 is set in gusset 4 position of air channel 3 outer wall and is located along both sides, bearing block 2 oblique air channel 3, vibration acceleration sensor is installed on measuring point the 5th, 6, uses the vibration velocity virtual value g of waveform analyzer detection air flue rib plates 4j；
Step 3, the axial flow blower for rigid foundation, online monitoring system secondary meter detects data vibration velocity virtual value gzDuring≤2.8mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 2.8 mm/s < gzDuring≤4.5mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gz>4.5mm/s when, show axial flow blower fault, need maintenance down; During bearing impact mean value p≤1.2, showing that axial flow blower running status is normal, bearing impact mean value is 1.2<p≤3.0 o'clock, are attention state, show that bearing is abnormal, need to change oil, clean, and bearing impacts mean value p>When 3.0, show that raceway is abnormal, replacing process need to be shut down; Air flue rib plates measures vibration velocity virtual value gjDuring≤0.8mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 0.8 < gjDuring≤1.5mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gj> 1.5mm/s when, need maintenance down；
Step 4, the axial flow blower for flexible foundation, online monitoring system secondary meter detects data vibration velocity virtual value gzDuring≤4.5mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 4.5 mm/s < gzDuring≤7.1mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gz>7.1mm/s when, show axial flow blower fault, need maintenance down; During bearing impact mean value p≤1.2, showing that axial flow blower running status is normal, bearing impact mean value is 1.2<p≤3.0 o'clock, are attention state, show that bearing is abnormal, need to change oil, clean, and bearing impacts mean value p>When 3.0, show that raceway is abnormal, replacing process need to be shut down; Air flue rib plates measures vibration velocity virtual value gjDuring≤1.5mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 1.5 mm/s < gjDuring≤2.8mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gj> 2.8mm/s when, need maintenance down.
Usual birotor axial flow blower is dual-gripper bearing, bearing block is arranged in air channel, thus the seat that sensor cannot directly be arranged on bearing block measurement blower fan shakes, therefore suitable sensor set-up mode must be selected to carry out data acquisition, the data gathering must truly reflect the quality of fan rotor and bearing state and assembling, and need sensor easy for installation, can in real time, quantitatively detect vibration equipment development trend.
In this method, general axis flow fan is provided with online monitoring system on bearing block, can obtain detecting data from monitoring system secondary meter, then be as the criterion with secondary meter detection data.Secondary meter wherein detects the vibration velocity virtual value (mm/s) in data standard value and quotes the data in national standard " on on-rotatably moving part measurement and the mechanical oscillation part 1 evaluating machine: general provisions (GB/T 6075.1-1999) ".Bearing impact mean value judges the empirical value that axial flow blower running status is then that inspection accumulation for many years obtains.It if sensor on bearing block is installed complete, i.e. vertically, level, is axially fitted with sensor, then judges as benchmark using on-line monitoring secondary meter detection data on bearing block.If it is incomplete that bearing block installs sensor, then detecting vibration data in air flue rib plates position, if there being any one superscalar data, then axial flow blower running status is bad.If axial flow blower is without online monitoring system, then must detect vibration data on air flue rib plates, pipeline gusset detects between data and bear vibration data directly related, therefore it is as the criterion with gusset detection vibration data, judge that axial flow blower running status is that many years of experience accumulates the value obtaining with gusset vibration data；In deterministic process bottom bracket and gusset detection vibration data, any one superscalar data, then the equipment that all represents exists abnormal.
Characteristic according to axial flow blower, the measuring point of this method bearing fan vibration selects the bars position at air channel outer wall, in the obliquely downward of air channel two side shaft holder in terms of cross section, air channel, this position measurements is basically identical with vibration of bearings value, the frequency range of measurement is 5Hz～500Hz, to eliminate the interference that casing brings.Each measuring point arranges the vibration acceleration sensor that precision is 100mv/g, vibration acceleration sensor can gather the vibration signal of bearing block and air flue rib plates, high-accuracy waveform analyzer is used to gather the output signal of each vibration acceleration sensor, processed by output signals to vibration acceleration sensor for the means such as vibration acceleration spectrum analyses, obtain for holding fan rotor, unit centering, the vibration velocity virtual value of bearing installation etc., for holding the impact mean value of bearing state, vibration velocity virtual value judges assembling, the mechanical breakdowns such as balance, impact mean value is as the index judging bearing state, and judge the various running status of axial flow blower accordingly, ensure the properly functioning of axial flow blower, avoid the expansion of fault.
Claims (1)
1. a birotor axial flow blower on-line operation condition detection method, it is characterised in that this method comprises the steps:
Be adhesively fixed on step one, axial flow blower bearing block vibration acceleration sensor in advance, draws line, is exported to control room by secondary meter, selected secondary meter output interface, directly uses waveform analyzer detection vibration of bearings speed virtual value gzWith bearing impact mean value p；
Step 2, selected axial flow blower bearing block gusset measuring point, axial flow blower bearing seat is in air channel and is located on air flue rib plates, measuring point is set in the bars position of air channel outer wall and is located along the oblique both sides, air channel of bearing block, vibration acceleration sensor is installed on measuring point, uses the vibration velocity virtual value g of waveform analyzer detection air flue rib platesj；
Step 3, the axial flow blower for rigid foundation, online monitoring system secondary meter detects data vibration velocity virtual value gzDuring≤2.8mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 2.8 mm/s < gzDuring≤4.5mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gz>4.5mm/s when, show axial flow blower fault, need maintenance down; During bearing impact mean value p≤1.2, showing that axial flow blower running status is normal, bearing impact mean value is 1.2<p≤3.0 o'clock, are attention state, show that bearing is abnormal, need to change oil, clean, and bearing impacts mean value p>When 3.0, show that raceway is abnormal, replacing process need to be shut down; Air flue rib plates measures vibration velocity virtual value gjDuring≤0.8mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 0.8 < gjDuring≤1.5mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gj> 1.5mm/s when, need maintenance down；
Step 4, the axial flow blower for flexible foundation, online monitoring system secondary meter detects data vibration velocity virtual value gzDuring≤4.5mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 4.5 mm/s < gzDuring≤7.1mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gz>7.1mm/s when, show axial flow blower fault, need maintenance down; During bearing impact mean value p≤1.2, showing that axial flow blower running status is normal, bearing impact mean value is 1.2<p≤3.0 o'clock, are attention state, show that bearing is abnormal, need to change oil, clean, and bearing impacts mean value p>When 3.0, show that raceway is abnormal, replacing process need to be shut down; Air flue rib plates measures vibration velocity virtual value gjDuring≤1.5mm/s, showing that axial flow blower running status is normal, vibration velocity virtual value is 1.5 mm/s < gjDuring≤2.8mm/s, show that axial flow blower running status is abnormal, be attention state, vibration velocity virtual value gj> 2.8mm/s when, need maintenance down.
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| CN110672198B (en) * | 2019-08-26 | 2021-08-17 | 华电电力科学研究院有限公司 | Boiler flue gas and air system vibration fault diagnosis method |
| CN112491228B (en) * | 2020-11-06 | 2023-01-24 | 华能澜沧江水电股份有限公司 | Method for detecting key magnetic pole causing stator low-frequency vibration based on vibration waveform |
| CN112539193A (en) * | 2020-12-07 | 2021-03-23 | 广州市耀安实业发展有限公司 | Fan vibration monitoring method and system, computer equipment and storage medium |
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| CN201351621Y (en) * | 2009-01-04 | 2009-11-25 | 浙江金盾风机风冷设备有限公司 | Axial-flow fan with vibration measuring device |
| CN102155425A (en) * | 2011-04-14 | 2011-08-17 | 中山共享光电科技有限公司 | Method for detecting state of high-speed high-vacuum turbomolecular pump |
| CN102411363A (en) * | 2011-12-26 | 2012-04-11 | 北京工业大学 | On-line monitoring system and monitoring method of running state of mine fan |
| CN202332064U (en) * | 2011-11-27 | 2012-07-11 | 韶关市曲江明和设备修造有限公司 | Dynamic balance training device for motor rotor |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS538403A (en) * | 1976-07-09 | 1978-01-25 | Mitsubishi Heavy Ind Ltd | System for detecting rotor contact position |
| JP2008215107A (en) * | 2007-02-28 | 2008-09-18 | Mitsubishi Heavy Ind Ltd | Compressor |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201351621Y (en) * | 2009-01-04 | 2009-11-25 | 浙江金盾风机风冷设备有限公司 | Axial-flow fan with vibration measuring device |
| CN102155425A (en) * | 2011-04-14 | 2011-08-17 | 中山共享光电科技有限公司 | Method for detecting state of high-speed high-vacuum turbomolecular pump |
| CN202332064U (en) * | 2011-11-27 | 2012-07-11 | 韶关市曲江明和设备修造有限公司 | Dynamic balance training device for motor rotor |
| CN102411363A (en) * | 2011-12-26 | 2012-04-11 | 北京工业大学 | On-line monitoring system and monitoring method of running state of mine fan |
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Address after: No. 3520 Tongji Road, Baoshan District, Shanghai, 201900 Patentee after: Baowu equipment Intelligent Technology Co., Ltd Address before: 201900, 335, Pu Pu Road, Shanghai, Baoshan District Patentee before: SHANGHAI BAOSTEEL INDUSTRY TECHNOLOGICAL SERVICE Co.,Ltd. |
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