CN102928215A - Fault diagnosis method of rotary machine - Google Patents
Fault diagnosis method of rotary machine Download PDFInfo
- Publication number
- CN102928215A CN102928215A CN2012104420830A CN201210442083A CN102928215A CN 102928215 A CN102928215 A CN 102928215A CN 2012104420830 A CN2012104420830 A CN 2012104420830A CN 201210442083 A CN201210442083 A CN 201210442083A CN 102928215 A CN102928215 A CN 102928215A
- Authority
- CN
- China
- Prior art keywords
- signal
- fault
- fault diagnosis
- rotary machine
- telecommunication
- 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
Images
Abstract
The invention discloses a fault diagnosis method of a rotary machine. The fault diagnosis method includes steps of subjecting the rotary machine to fault diagnosis system initialization, signal processing, on-line fault diagnosis, remote fault diagnosis and off-line data analysis. The fault diagnosis method is capable of mastering operation conditions of the rotary machine and judging positions, reasons, severity degrees and severity states of faults under the condition that the rotary machine is rarely detached when the rotary machine is operated or shut down.
Description
Technical field
The invention belongs to the rotary machinery fault diagnosis field, related in particular to a kind of method for diagnosing faults of rotating machinery.
Background technology
The core of rotating machinery is rotor assembly, and it is comprised of rotating shaft and all kinds of circular discoid parts fixed thereon.Because whole rotor high-speed rotation is so have very high requirement to its manufacturing, installation, debugging, maintenance management.If wherein certain part is out of joint, or connects matching part at certain unusual change has occured, just may cause the judder of unit, so need to carry out fault diagnosis to rotating machinery.
Summary of the invention
The present invention designs a kind of method for diagnosing faults of rotating machinery.
The technical scheme that realizes above-mentioned purpose is: a kind of method for diagnosing faults of rotating machinery comprises the steps:
S1, system initialization: all sensor, signal processing unit and the communication units of initialization system when system starts;
S2, signal are processed: system gathers and stores the rotating machinery fault coherent signal by on-line sensor;
S3, on-line fault diagnosis: comprise failure prediction and fault recognition.Described fault recognition, collection signal carry out conditions for diagnostics and judge the concurrent generation signal that makes mistake of handling failure information.Described failure prediction is carried out conditions for diagnostics with collection signal and is judged, send wrong produce signal for the previous period in real-time continuous the data stream storage and analyze, and send prediction error generation signal;
S4, remote fault diagnosis: comprise remote alarms and telecommunication.Described telecommunication, its central control unit can be by the data of any type of telecommunication mode real-time query online detection instrument, and store.Described remote alarms when mistake generation signal sends, can be sent the wrong signal that produces to central control unit by any type of telecommunication mode;
The S5 Off-line faults diagnosis can carry out conditions for diagnostics to the historical data of central control unit storage and judge, determines reason and the order of severity that fault occurs.
The present invention can be when equipment moves or situation about substantially not dismantling when shutting down under, grasp the running status of equipment, judge location of fault, reason, the order of severity and state.
Description of drawings
Fig. 1 is schematic flow sheet of the present invention.
Embodiment
The invention will be further described below in conjunction with accompanying drawing.
Please refer to Fig. 1, implementation step of the present invention is as follows:
S1, fault diagnosis system initialization, all sensor, signal processing unit and the communication units of initialization system when it is characterized in that system starts, wherein the sensor detection of carrying out fault-signal comprises: imbalance, rotor misalignment, become flexible and friction etc.;
After S2, sensor obtain fault-signal, send signal processing unit to and process and store, and do to be out of order judgement, comprise prediction and affirmation;
After S3, signal processing unit process and stored data, data and fault are declared the result send communication unit to;
S4, in the present embodiment, communication unit sends data and fault judged result to central control unit by the CAN bus;
S5, central control unit deposit data and the fault judged result that communication unit sends in database, and make corresponding warning according to judged result;
S6, when needing, the historical data of central control unit storage can be carried out the off-line fault analysis.
Below in conjunction with the embodiments the present invention is had been described in detail, those skilled in the art can make the many variations example to the present invention according to the above description.Thereby some details among the embodiment should not consist of limitation of the invention, and the scope that the present invention will define with appended claims is as protection scope of the present invention.
Claims (1)
1. the method for diagnosing faults of a rotating machinery is characterized in that, may further comprise the steps:
S1, system initialization: all sensor, signal processing unit and the communication units of initialization system when system starts;
S2, signal are processed: system gathers and stores the rotating machinery fault coherent signal by on-line sensor;
S3, on-line fault diagnosis: comprise failure prediction and fault recognition, described fault recognition, collection signal carries out conditions for diagnostics and judges, the concurrent generation signal that makes mistake of handling failure information, described failure prediction, collection signal is carried out conditions for diagnostics judges, send wrong produce signal for the previous period in real-time continuous the data stream storage and analyze, and send prediction error generation signal;
S4, remote fault diagnosis: comprise remote alarms and telecommunication.Described telecommunication, its central control unit can be by the data of any type of telecommunication mode real-time query online detection instrument, and store; Described remote alarms when mistake generation signal sends, can be sent the wrong signal that produces to central control unit by any type of telecommunication mode;
The S5 Off-line faults diagnosis can carry out conditions for diagnostics to the historical data of central control unit storage and judge, determines reason and the order of severity that fault occurs.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012104420830A CN102928215A (en) | 2012-11-08 | 2012-11-08 | Fault diagnosis method of rotary machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012104420830A CN102928215A (en) | 2012-11-08 | 2012-11-08 | Fault diagnosis method of rotary machine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102928215A true CN102928215A (en) | 2013-02-13 |
Family
ID=47643068
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012104420830A Pending CN102928215A (en) | 2012-11-08 | 2012-11-08 | Fault diagnosis method of rotary machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102928215A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101118437A (en) * | 2007-09-03 | 2008-02-06 | 石毅 | New style numerically controlled machine remote condition monitoring and failure diagnosis system realizing method |
| CN102519743A (en) * | 2011-12-01 | 2012-06-27 | 北京工业大学 | Wireless sensor network-based monitoring and early warning method for running state of mine ventilator |
| CN102520697A (en) * | 2011-12-16 | 2012-06-27 | 西安建筑科技大学 | Onsite information preprocessing method of remote cooperative diagnosis |
| CN102620932A (en) * | 2012-03-28 | 2012-08-01 | 奇瑞汽车股份有限公司 | Online fault diagnosis prediction method and device thereof of automatic gearbox |
-
2012
- 2012-11-08 CN CN2012104420830A patent/CN102928215A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101118437A (en) * | 2007-09-03 | 2008-02-06 | 石毅 | New style numerically controlled machine remote condition monitoring and failure diagnosis system realizing method |
| CN102519743A (en) * | 2011-12-01 | 2012-06-27 | 北京工业大学 | Wireless sensor network-based monitoring and early warning method for running state of mine ventilator |
| CN102520697A (en) * | 2011-12-16 | 2012-06-27 | 西安建筑科技大学 | Onsite information preprocessing method of remote cooperative diagnosis |
| CN102620932A (en) * | 2012-03-28 | 2012-08-01 | 奇瑞汽车股份有限公司 | Online fault diagnosis prediction method and device thereof of automatic gearbox |
Non-Patent Citations (1)
| Title |
|---|
| 杨波等: "《风机远程监测及故障诊断系统的设计与实现》", 《黄石理工学院学报》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3221579B1 (en) | Wind turbine condition monitoring method and system | |
| CN103229118B (en) | Device security designing support device and equipment monitor maintenance support device | |
| CN109724791A (en) | A kind of intelligence vibration analysis and trouble-shooter and its working method | |
| CN108154166A (en) | A kind of fan intelligent fault diagnosis system and method | |
| CN103443724A (en) | Product sensor, product with the product sensor, system and method for allowing communication between the product sensor and the system | |
| CN107061183A (en) | A kind of automation method for diagnosing faults of offshore wind farm unit | |
| CN204143226U (en) | A kind of production line data acquisition system (DAS) | |
| US20140032172A1 (en) | Systems and methods for health assessment of a human-machine interface (hmi) device | |
| CN102454589A (en) | Frequency conversion cooling tower fan running state monitoring and fault diagnosis remote monitor system | |
| CN111522329A (en) | Industrial robot fault diagnosis method | |
| CN104018895A (en) | ETS protective unit and triply-redundant steam turbine emergency protection system | |
| CN107767056A (en) | A kind of condition monitoring for power station coal pulverizer with it is health management system arranged | |
| CN204591656U (en) | Based on thermal power plant turbine pumping unit fault pre-alarming and the optimized maintenance system of industry internet | |
| Yang et al. | Research on knowledge graph and Bayesian network in fault diagnosis of steam turbine | |
| CN201166691Y (en) | Apparatus for analyzing failure of PLC design power station | |
| CN107037791A (en) | A kind of producing line device visualization method for diagnosing faults | |
| CN209296300U (en) | A kind of intelligence vibration analysis and trouble-shooter | |
| CN106113567A (en) | A kind of large-sized hydraulic press running status intelligent monitoring and failure warning system | |
| CN202091172U (en) | Device for monitoring state and analyzing reliability of gas compressor | |
| KR102561675B1 (en) | Failure diagnosis and prediction system using condition monitoring of production site operation facilities | |
| CN102096770A (en) | Network-based performance degradation assessment method of rotary machine | |
| CN104699597A (en) | Calculating software monitoring system based on UNIX operating system | |
| CN102928215A (en) | Fault diagnosis method of rotary machine | |
| CN107422720B (en) | Plasma machining production line of dual-trapezoid slotted sieve tube intelligent comprehensive method for diagnosing faults | |
| KR101896442B1 (en) | System, Server and Method for monitoring wind plant with ICT fusion |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130213 |