CN108827632A - A kind of determination method of communications equipment room equipment health status - Google Patents
A kind of determination method of communications equipment room equipment health status Download PDFInfo
- Publication number
- CN108827632A CN108827632A CN201810293767.6A CN201810293767A CN108827632A CN 108827632 A CN108827632 A CN 108827632A CN 201810293767 A CN201810293767 A CN 201810293767A CN 108827632 A CN108827632 A CN 108827632A
- Authority
- CN
- China
- Prior art keywords
- data
- equipment room
- communications equipment
- health status
- room equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
- G01M13/045—Acoustic or vibration analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The present invention provides a kind of determination methods of communications equipment room equipment health status, first voice data and vibration data of the acquisition communications equipment room equipment within the scope of certain time；Collected voice data and vibration data are switched into digital quantity and are transmitted to mobile phone app；Mobile phone app makees preliminary data processing to the digital quantity received, is uploaded to analysis platform as abnormal data if digital quantity is beyond term of reference value, is otherwise used as normal data, wherein term of reference value also has self iterative function；The analysis platform carries out depth analysis to abnormal data, to judge whether the current health status of communications equipment room equipment is abnormal；And it predicts the developing trend of communications equipment room equipment health status and reaches the time point of danger level.The present invention judges whether the current health status of communications equipment room equipment is abnormal by analyzing voice data and the vibration data of communications equipment room equipment；And it predicts the developing trend of communications equipment room equipment health status and reaches the time point of danger level.
Description
Technical field
The present invention relates to a kind of communications equipment room equipment health status determination methods.
Background technique
Include the crowds such as air-conditioning, UPS, Switching Power Supply, transmission device since the equipment of current communications industry computer room is more and more
More equipment.The normal operation of equipment needs to put into personnel and safeguards and patrol, more and more with the increase of business and equipment
Equipment cause the increase of maintenance workload and cost, while also testing the adaptibility to response and working strength of maintenance personnel.For
Mitigate the burden of maintenance personnel, reduce personnel's investment and improves working efficiency, anticipation using instrument to equipment health status
And monitoring, and will test data analysis and provide reasonable maintenance suggestion, it would be possible to the failure of generation finds and handles in advance, with drop
Low-maintenance cost, personnel cost and achieve the purpose that prevent trouble before it happens.
Certain noise and vibration can be generated during operation for most equipment, according to the experience of life and equipment
Characteristic is it is known that vibration of the equipment when normally starting and running process with it is generated when failure sound and equipment is often
Have certain difference.Such as computer cooling fan revolving speed difference represents the difference of its working strength, if but sound
It is big more than usual, it may be that computer glitch causes, should cause to pay close attention at this time；Elevator is all normally in the process of running
Compare steady and quiet, but when there is apparent shake, often represents elevator and be in abnormality.Such example be unequal to piece
It lifts, summing up the conclusion come is exactly that machine or equipment occur very likely indicating at machine or equipment when sound or the vibration of exception
In malfunction.Therefore the detection and comparative analysis of sound of the calculator room equipment in operating status and vibration can simply be sentenced
The operating status of disconnected equipment.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of detection and analysis side of communications equipment room equipment health status
Method, voice data and vibration data by analyzing communications equipment room equipment to judge the current health status of communications equipment room equipment are
No exception；And it predicts the developing trend of communications equipment room equipment health status and reaches the time point of danger level.
The invention is realized in this way：A kind of determination method of communications equipment room equipment health status, including：S1, general
Noise transducer and vibrating sensor acquire communications equipment room equipment in certain time range close to running communications equipment room equipment
Interior voice data and vibration data；
S2, it collected voice data and vibration data is switched into digital quantity is transmitted to mobile phone app；
S3, mobile phone app make preliminary data processing to the digital quantity received, i.e., on mobile phone app analyze digital quantity with
Term of reference value is compared, and is uploaded to analysis platform as abnormal data if digital quantity is beyond term of reference value, otherwise
As normal data；The term of reference value has self iterative function, and the process of self iteration is：
(1) acquisition of voice data and vibration data is first carried out to the normal device in communications equipment room, and is uploaded to described
Analysis platform is recorded by the analysis platform and is set as initial reference range value；
(2) during detection and analysis, mobile phone app is obtained normally after making preliminary data processing to the digital quantity received
Data and abnormal data, then normal data and abnormal data are uploaded to analysis platform, by after analysis platform comparative analysis again
Calibrate fault data；
(3) analysis platform is modified initial reference range value according to fault data, the reference after obtaining iteration
Value range；
(4) during the detection and analysis in later period, last term of reference value is continued to correct with same method, is made
Term of reference value continues to obtain iteration；
S4, the analysis platform carry out depth analysis to abnormal data, to judge the current health of communications equipment room equipment
Whether state is abnormal；And it predicts the developing trend of communications equipment room equipment health status and reaches the time point of danger level.
Further, initial reference range value includes the attention critical field and hazard standard range of amplitude, the attention
The calculation method of standard value range and hazard standard value range is：Based on constant duration, take at least 20 same measuring points,
It is equidirectional, with the effective amplitude data of angle and pressure and find out average value, then suggest on the basis of average value with reference to ISO
Relative standard calculate the attention standard value range and the hazard standard value range.
The calculation method for paying attention to standard value range and the hazard standard value range is：Low frequency (<It is 1KHZ) mechanical
Notice that critical field is 2.5 times of average value, hazard standard range is 6 times of average value；High frequency (>4KHZ) mechanical attention mark
Quasi- range is 10 times of average value, and hazard standard range is 100 times of average value.
Further, when by noise transducer and vibrating sensor close to running communications equipment room devices collect data,
Specifically close to the mechanical component shell of communications equipment room equipment, bearing, the important position of the switch, device Host shell, set
The voice data and vibration data of standby important module.
Further, the analysis platform, which carries out depth analysis to abnormal data, is to the data type of abnormal data, goes through
The analysis of history data and integrated data, the integrated data include come into operation the time data, failure logging of communications equipment room equipment
Data and alarm record data.
Further, the analysis platform is to analysis in abnormal data：
1) classify previously according to the sound of different faults or rumble spectrum feature, the frequency spectrum for summarizing mechanical loosening is special
The spectrum signature of sign, the spectrum signature of rubbing and bearing fault；
2) random signal and deterministic signal are separated in the voice data or vibration data of the abnormal data received,
And extract the periodic component of random signal；It is compared according to oscillatory type is corresponding in amplitude, frequency, at least three dimension of wavelength
Mechanical spectrum signature, the spectrum signature of rubbing or the spectrum signature of bearing fault loosened, when the week of random signal
Phase characteristic is judged as corresponding fault type when having 70% or more similarity with the fault spectrum feature of conclusion；
Wherein, one of the voice data or vibration data need to only be analyzed, equipment state can be carried out to analyze and sentenced
It is disconnected, to two kinds of data while it can analyze when being detected simultaneously by two kinds of data and mutually prove analysis result.
Further, the analysis platform predicts the developing trend of communications equipment room equipment health status and reaches danger level
The method at time point be：The data that every communications equipment room equipment is established " equipment trend situation record sheet ", and recorded are drawn
At curve graph, the situation of change and variation tendency of equipment are obtained according to the slope of curve graph, to predict communications equipment room equipment
The developing trend of health status and the time point for reaching danger level.
Further, the analysis platform judges that the current health status of communications equipment room equipment becomes for exception or according to development
To and reach time point of danger level, give fault type and exclude countermeasure.
The advantage of the invention is that：
(1) anticipation and monitoring of the instrument to equipment health status are utilized, and will test data analysis and provide reasonable maintenance
It is recommended that the incipient fault and handling failure of discovering device can be shifted to an earlier date, it would be possible to which the loss of generation is near minimum；
(2) it is mentioned using the detection of instrument with reducing the working strength of maintenance personnel and reducing the skill requirement of maintenance personnel
The working efficiency of high maintenance personnel reduces enterprise personnel investment；
(3) being continuously increased with acquisition data, term of reference value will also become to be more in line with actual conditions therewith, meaning
To the detection and diagnosis of equipment as the increase of times of collection also can be more acurrate；
(4) intelligence for combining achievable preservation & testing, systematization, digitlization, the simplification of equipment and platform are utilized.
Detailed description of the invention
The present invention is further illustrated in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is the structural schematic diagram of acquisition analysis system in the method for the present invention.
Fig. 2 is the flow diagram of the method for the present invention.
Specific embodiment
It please refers to shown in Fig. 1 and Fig. 2, is described herein a kind of for testing and analyzing communications equipment room equipment health status
Method.According to one embodiment of present invention, the method includes：
S1, by noise transducer and vibrating sensor close to running communications equipment room equipment, acquire communications equipment room equipment
Voice data and vibration data within the scope of certain time；By noise transducer and vibrating sensor close to running communication
When calculator room equipment acquires data, specifically close to the mechanical component shell of communications equipment room equipment, bearing, important switch position
It sets, the voice data and vibration data of device Host shell, equipment important module.
S2, collected voice data and vibration data are turned after signal amplifies and signal condition is handled through OTC agreement
Mobile phone app is transmitted to for digital quantity.
S3, mobile phone app make preliminary data processing to the digital quantity received, i.e., on mobile phone app analyze digital quantity with
Term of reference value is compared, and is uploaded to analysis platform as abnormal data if digital quantity is beyond term of reference value, otherwise
As normal data.
According to one embodiment of present invention, the term of reference value has self iterative function, continuous with data
It accumulates and perfect, the accuracy of term of reference value will also increase accordingly, and the process of self iteration is：
(1) acquisition of voice data and vibration data is first carried out to the normal device in communications equipment room, and is uploaded to described
Analysis platform is recorded by the analysis platform and is set as initial reference range value；Specifically：Based on constant duration,
At least take the average value of 20 effective amplitude data (same to measuring point, equidirectional, with angle and pressure)；Then in the base of average value
It is calculated on plinth with reference to the ISO relative standard suggested and pays attention to critical field and hazard standard range, obtain initial reference range value,
As low frequency (<1KHZ) mechanical attention critical field is 2.5 times of average value, and hazard standard range is 6 times of average value, high frequency
(>4KHZ) mechanical attention critical field is 10 times of average value, and hazard standard range is 100 times of average value；Wherein, ISO
It is recommended that relative standard be not absolute standard, be not applied for all devices, every kind of equipment should all have independent standard, use
It can inquire to obtain the standard of various equipment or empirically sets itself pays attention to standard value range and the hazard standard value model
It encloses；
(2) during detection and analysis, mobile phone app is obtained normally after making preliminary data processing to the digital quantity received
Data and abnormal data, then normal data and abnormal data are uploaded to analysis platform, by after analysis platform comparative analysis again
Calibrate fault data；
(3) analysis platform is modified initial reference range value according to fault data, the reference after obtaining iteration
Value range；
(4) during the detection and analysis in later period, last term of reference value is continued to correct with same method, is made
Term of reference value continues to obtain iteration.
S4, the analysis platform carry out depth analysis to abnormal data, including the data type to abnormal data, history number
According to the analysis with integrated data, which includes time data, amplitude data or frequency data, which includes logical
Believe the time data that come into operation, normal recordings data, fault record data and the alarm record data etc. of calculator room equipment, thus
Judge whether the current health status of communications equipment room equipment is abnormal；And predict communications equipment room equipment health status developing trend and
Reach the time point of danger level；If abnormal or according to developing trend and reach time point of danger level, return and be out of order
Type and exclusion countermeasure.
According to one embodiment of present invention, " equipment trend situation record sheet " is established to every communications equipment room equipment, and
The data of record are depicted as curve graph, and when drawing curve graph, using time data as abscissa, amplitude data and frequency data are vertical
Coordinate, using the time data that come into operation, normal recordings data, fault record data and alarm record data as coordinate value
It is drawn.Then the situation of change and variation tendency of equipment are obtained according to the slope of curve graph, i.e., predictable equipment reaches danger
Danger horizontal time point.
Wherein, according to one embodiment of present invention, the analysis platform is to analysis in abnormal data：
1) classify previously according to the sound of different faults or rumble spectrum feature, the frequency spectrum for summarizing mechanical loosening is special
The spectrum signature of sign, the spectrum signature of rubbing and bearing fault；
2) random signal and deterministic signal are separated in the voice data or vibration data of the abnormal data received,
And extract the periodic component of random signal；It is compared according to oscillatory type is corresponding in amplitude, frequency, at least three dimension of wavelength
Mechanical spectrum signature, the spectrum signature of rubbing or the spectrum signature of bearing fault loosened, when the week of random signal
Phase characteristic is judged as corresponding fault type when having 70% or more similarity with the fault spectrum feature of conclusion；
Wherein, one of the voice data or vibration data need to only be analyzed, equipment state can be carried out to analyze and sentenced
It is disconnected, to two kinds of data while it can analyze when being detected simultaneously by two kinds of data and mutually prove analysis as a result, and equipment
A bit in special circumstances sound or the factor of vibration performance it is unobvious, therefore simultaneously analyze two kinds of data can make result more subject to
Really.
Sound wave is vibrated by sound source to be generated, and sound wave and vibration wave are all mechanical waves, therefore the spy of the characteristic of sound wave and vibration wave
Property is similar.Equipment might have generation various faults, and every kind of fault type has corresponding spectrum signature, when an error occurs,
Then the spectrum signature of failure becomes obviously, can also extract the periodic signal of fault spectrum feature in random vibration, described
The spectrum signature of failure refers to the cyclophysis of the parameters such as amplitude, frequency, the wavelength of fault-signal, i.e., has on frequency spectrum stable
The spectrum structure not changed over time.Can spectrum signature according to different faults classify, it is special to conclude the mechanical frequency spectrum loosened
Sign, the types such as spectrum signature of the spectrum signature of rubbing, bearing fault.Such classification can assist maintenance personnel quickly to send out
Existing fault point and failure cause.
1. the spectrum signature that machinery loosens
Machinery, which loosens, declines coupling stiffness, this is the fundamental cause for loosening abnormal vibration.Loosening vibration shows non-thread
Property feature, loosening is typically characterised by generating the vibration of the high frequencies such as 2 times, 3 times, 4 times and 5 times.The amplitude for loosening direction is big, works as height
When the amplitude of subharmonic is greater than the 1/2 of rotational frequency amplitude, it should suspect there is looseness fault.
2. the spectrum signature of rubbing
Rubbing is that static pieces contact occurs when learning on the job too small to flick again, changes the dynamic rate of structure.With loosening
Have the characteristics that similar to rubbing is also nonlinear characteristic, but rubbing is characterized by fractional harmonic；Touch rub it is big by gap
Small control, it is not very close with rotation speed relation；Formal in waveform performance, friction is often visible to cut top waveform.
3. the spectrum signature of bearing fault
Bearing fault generally has fatigue flake, abrasion scratch, corrosion galvanic corrosion, several failure modes of crack fracture.With shaft
For transversal crack failure, opening and closing always occur for shaft each rotation crackle, and the rigidity army of shaft claims, to cause non-linear
Vibration, vibrating for capable of identify is mainly 1 times, 2 times, 3 times of harmonic；During startup-shutdown, since non-linear harmonics is closed
System, it may appear that frequency dividing resonance；Holography spectrum shows as the elliptical shape of 2 frequencys multiplication.
Although specific embodiments of the present invention have been described above, those familiar with the art should be managed
Solution, we are merely exemplary described specific embodiment, rather than for the restriction to the scope of the present invention, it is familiar with this
The technical staff in field should be covered of the invention according to modification and variation equivalent made by spirit of the invention
In scope of the claimed protection.
Claims (8)
1. a kind of determination method of communications equipment room equipment health status, it is characterised in that：Including：
S1, by noise transducer and vibrating sensor close to running communications equipment room equipment, acquire communications equipment room equipment one
The voice data and vibration data fixed time in range；
S2, it collected voice data and vibration data is switched into digital quantity is transmitted to mobile phone app；
S3, mobile phone app make preliminary data processing to the digital quantity received, i.e., digital quantity and reference are analyzed on mobile phone app
Value range is compared, and is uploaded to analysis platform as abnormal data if digital quantity is beyond term of reference value, otherwise conduct
Normal data；The term of reference value has self iterative function, and the process of self iteration is：
(1) acquisition of voice data and vibration data is first carried out to the normal device in communications equipment room, and uploads to the analysis
Platform is recorded by the analysis platform and is set as initial reference range value；
(2) during detection and analysis, mobile phone app obtains normal data after making preliminary data processing to the digital quantity received
And abnormal data, then normal data and abnormal data are uploaded to analysis platform, by being demarcated again after analysis platform comparative analysis
Be out of order data；
(3) analysis platform is modified initial reference range value according to fault data, the term of reference after obtaining iteration
Value；
(4) during the detection and analysis in later period, last term of reference value is continued to correct with same method, makes to refer to
Value range continues to obtain iteration；
S4, the analysis platform carry out depth analysis to abnormal data, to judge the current health status of communications equipment room equipment
It is whether abnormal；And it predicts the developing trend of communications equipment room equipment health status and reaches the time point of danger level.
2. a kind of determination method of communications equipment room equipment health status as described in claim 1, it is characterised in that：Initially
Term of reference value includes the attention critical field and hazard standard range of amplitude, the attention standard value range and hazard standard value
The calculation method of range is：Based on constant duration, at least 20 same measuring points, equidirectional, with angle and pressure are taken
Effective amplitude data simultaneously find out average value, then calculate on the basis of average value with reference to the ISO relative standard suggested described
Pay attention to standard value range and the hazard standard value range.
3. a kind of determination method of communications equipment room equipment health status as claimed in claim 2, it is characterised in that：It is described
Paying attention to the calculation method of standard value range and the hazard standard value range is：Low frequency (<1KHZ) mechanical attention critical field
It is 2.5 times of average value, hazard standard range is 6 times of average value；High frequency (>4KHZ) mechanical attention critical field is average
10 times of value, hazard standard range are 100 times of average value.
4. a kind of determination method of communications equipment room equipment health status as described in claim 1, it is characterised in that：It will make an uproar
When sonic transducer and vibrating sensor are close to running communications equipment room devices collect data, specifically close to communications equipment room equipment
Mechanical component shell, bearing, the important position of the switch, device Host shell, equipment important module voice data and
Vibration data.
5. a kind of determination method of communications equipment room equipment health status as described in claim 1, it is characterised in that：It is described
Analysis platform carries out point that depth analysis is the data type to abnormal data, historical data and integrated data to abnormal data
Analysis, the integrated data include the time data that come into operation, fault record data and alarm record data of communications equipment room equipment.
6. a kind of determination method of communications equipment room equipment health status as described in claim 1, it is characterised in that：It is described
Analysis platform in abnormal data analysis be：
1) classify previously according to the sound of different faults or rumble spectrum feature, summarize mechanical loosening spectrum signature,
The spectrum signature of rubbing and the spectrum signature of bearing fault；
2) random signal and deterministic signal are separated in the voice data or vibration data of the abnormal data received, and mentioned
Take out the periodic component of random signal；According to oscillatory type corresponding comparison in amplitude, frequency, at least three dimension of wavelength
Spectrum signature, the spectrum signature of rubbing or the spectrum signature of bearing fault that machinery loosens, it is special when the period of random signal
Property with the fault spectrum feature of conclusion have 70% or more similarity when be judged as corresponding fault type；
Wherein, one of the voice data or vibration data both data need to only be analyzed, when analyze simultaneously this two
Then further it is judged as corresponding fault type by mutually proving analysis result when kind data.
7. a kind of determination method of communications equipment room equipment health status as described in claim 1, it is characterised in that：It is described
Analysis platform predicts the developing trend of communications equipment room equipment health status and reaches the method at the time point of danger level：
" equipment trend situation record sheet " is established to every communications equipment room equipment, and the data recorded are depicted as curve graph, according to
The slope of curve graph obtains the situation of change and variation tendency of equipment, to predict the development of communications equipment room equipment health status
Tend to and reach the time point of danger level.
8. a kind of determination method of communications equipment room equipment health status as described in claim 1, it is characterised in that：It is described
Analysis platform judge the current health status of communications equipment room equipment for it is abnormal or according to developing trend and reach danger level when
Between point, give fault type and exclude countermeasure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810293767.6A CN108827632A (en) | 2018-03-30 | 2018-03-30 | A kind of determination method of communications equipment room equipment health status |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810293767.6A CN108827632A (en) | 2018-03-30 | 2018-03-30 | A kind of determination method of communications equipment room equipment health status |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108827632A true CN108827632A (en) | 2018-11-16 |
Family
ID=64155377
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810293767.6A Pending CN108827632A (en) | 2018-03-30 | 2018-03-30 | A kind of determination method of communications equipment room equipment health status |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108827632A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110346429A (en) * | 2019-07-15 | 2019-10-18 | 北京海益同展信息科技有限公司 | Inspection device and method for inspecting |
| CN110986264A (en) * | 2019-11-21 | 2020-04-10 | 珠海格力电器股份有限公司 | Air conditioner low-frequency resonance noise identification control method and air conditioner |
| CN111473815A (en) * | 2020-04-02 | 2020-07-31 | 江苏科技大学 | Double-host state monitoring system based on multiple sensors and monitoring method thereof |
| CN111612879A (en) * | 2020-05-22 | 2020-09-01 | 浙江讯飞智能科技有限公司 | Device detection method, device and readable storage medium |
| CN112710345A (en) * | 2019-10-25 | 2021-04-27 | 计算系统有限公司 | Machine monitoring method and apparatus for continuously improving predictive maintenance databases |
| CN113010394A (en) * | 2021-03-01 | 2021-06-22 | 北京中大科慧科技发展有限公司 | Machine room fault detection method for data center |
| CN113190421A (en) * | 2021-03-16 | 2021-07-30 | 北京中大科慧科技发展有限公司 | Detection and analysis method for equipment health state of data center |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202120263U (en) * | 2011-07-06 | 2012-01-18 | 丁一凡 | Portable terminal of remote health monitoring and managing system |
| CN102510125A (en) * | 2011-09-28 | 2012-06-20 | 天津科林电气有限公司 | Method and device for monitoring operation conditions of power primary equipment |
| CN106776102A (en) * | 2016-12-27 | 2017-05-31 | 中国建设银行股份有限公司 | A kind of application system health examination method and system |
| CN107192565A (en) * | 2017-05-25 | 2017-09-22 | 南京康尼机电股份有限公司 | A kind of synchronization detecting method of subway vehicle door system exception operating mode and component degradation |
| CN107209512A (en) * | 2015-01-30 | 2017-09-26 | 赛峰飞机发动机公司 | Acoustics or the method, system and the computer program that learn the stage of vibration analysis for machine |
| CN107576488A (en) * | 2017-08-30 | 2018-01-12 | 沃德传动（天津）股份有限公司 | A kind of method that diagnosis is monitored to equipment running status using vibration algorithm |
-
2018
- 2018-03-30 CN CN201810293767.6A patent/CN108827632A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202120263U (en) * | 2011-07-06 | 2012-01-18 | 丁一凡 | Portable terminal of remote health monitoring and managing system |
| CN102510125A (en) * | 2011-09-28 | 2012-06-20 | 天津科林电气有限公司 | Method and device for monitoring operation conditions of power primary equipment |
| CN107209512A (en) * | 2015-01-30 | 2017-09-26 | 赛峰飞机发动机公司 | Acoustics or the method, system and the computer program that learn the stage of vibration analysis for machine |
| CN106776102A (en) * | 2016-12-27 | 2017-05-31 | 中国建设银行股份有限公司 | A kind of application system health examination method and system |
| CN107192565A (en) * | 2017-05-25 | 2017-09-22 | 南京康尼机电股份有限公司 | A kind of synchronization detecting method of subway vehicle door system exception operating mode and component degradation |
| CN107576488A (en) * | 2017-08-30 | 2018-01-12 | 沃德传动（天津）股份有限公司 | A kind of method that diagnosis is monitored to equipment running status using vibration algorithm |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110346429A (en) * | 2019-07-15 | 2019-10-18 | 北京海益同展信息科技有限公司 | Inspection device and method for inspecting |
| CN112710345A (en) * | 2019-10-25 | 2021-04-27 | 计算系统有限公司 | Machine monitoring method and apparatus for continuously improving predictive maintenance databases |
| CN110986264A (en) * | 2019-11-21 | 2020-04-10 | 珠海格力电器股份有限公司 | Air conditioner low-frequency resonance noise identification control method and air conditioner |
| CN111473815A (en) * | 2020-04-02 | 2020-07-31 | 江苏科技大学 | Double-host state monitoring system based on multiple sensors and monitoring method thereof |
| CN111473815B (en) * | 2020-04-02 | 2022-03-11 | 江苏科技大学 | Double-host state monitoring system based on multiple sensors and monitoring method thereof |
| CN111612879A (en) * | 2020-05-22 | 2020-09-01 | 浙江讯飞智能科技有限公司 | Device detection method, device and readable storage medium |
| CN113010394A (en) * | 2021-03-01 | 2021-06-22 | 北京中大科慧科技发展有限公司 | Machine room fault detection method for data center |
| CN113010394B (en) * | 2021-03-01 | 2024-04-16 | 北京中大科慧科技发展有限公司 | Machine room fault detection method for data center |
| CN113190421A (en) * | 2021-03-16 | 2021-07-30 | 北京中大科慧科技发展有限公司 | Detection and analysis method for equipment health state of data center |
| CN113190421B (en) * | 2021-03-16 | 2024-03-29 | 北京中大科慧科技发展有限公司 | Method for detecting and analyzing health state of equipment in data center |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108593084A (en) | A kind of determination method of communications equipment room equipment health status | |
| CN108827632A (en) | A kind of determination method of communications equipment room equipment health status | |
| US20240068864A1 (en) | Systems and methods for monitoring of mechanical and electrical machines | |
| EP1192421B1 (en) | A non-invasive system and method for diagnosing potential malfunctions of semiconductor equipment components | |
| US20120330578A1 (en) | Severity analysis apparatus and method for shafts of rotating machinery | |
| US20040205403A1 (en) | Acoustic power spectra sensor for hard disk drive to provide early detection of drive failure and diagnostic capabilities | |
| US10704409B2 (en) | Systems and methods to detect a fluid induced instability condition in a turbomachine | |
| US20120330577A1 (en) | Vibration severity analysis apparatus and method for rotating machinery | |
| US9971667B1 (en) | Equipment sound monitoring system and method | |
| US20240068482A1 (en) | Real-time pump monitoring with prescriptive analytics | |
| US10959077B2 (en) | Preventive maintenance and failure cause determinations in turbomachinery | |
| US11409873B2 (en) | Detection of cyber machinery attacks | |
| Babu et al. | Condition monitoring and vibration analysis of boiler feed pump | |
| US20190154494A1 (en) | Detecting degradation in rotating machinery by using the fwhm metric to analyze a vibrational spectral density distribution | |
| US20050049834A1 (en) | Non-invasive system and method for diagnosing potential malfunctions of semiconductor equipment components | |
| CN107725456B (en) | The analysis and diagnosis method and device of centrifugal compressor unit | |
| EP3417262A1 (en) | Predictive monitoring system and method | |
| US20200122859A1 (en) | Predictive monitoring system and method | |
| US11463032B2 (en) | Detecting rotor anomalies by determining vibration trends during transient speed operation | |
| KR20200136197A (en) | Apparatus and method for detecting defects in rotating machines | |
| JP7381390B2 (en) | Abnormality diagnosis device and maintenance management system | |
| WO2017212645A1 (en) | Bearing diagnosing device and bearing diagnosing method, and rotating machine and maintenance method for same | |
| Rubhini et al. | Machine condition monitoring using audio signature analysis | |
| JP2006079322A (en) | Maintenance management method of rotary equipment | |
| US11592327B2 (en) | Torsional-lateral cross-coupling detection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20181116 |