CN117368719A - Motor fault detection method based on actual state - Google Patents
Motor fault detection method based on actual state Download PDFInfo
- Publication number
- CN117368719A CN117368719A CN202311154168.3A CN202311154168A CN117368719A CN 117368719 A CN117368719 A CN 117368719A CN 202311154168 A CN202311154168 A CN 202311154168A CN 117368719 A CN117368719 A CN 117368719A
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- motor
- judging whether
- fault
- angular frequency
- abnormal
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- 238000001514 detection method Methods 0.000 title claims abstract description 20
- 230000002159 abnormal effect Effects 0.000 claims abstract description 16
- 230000005284 excitation Effects 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 7
- 238000013016 damping Methods 0.000 claims description 3
- 238000004804 winding Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 abstract description 7
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/04—Thermometers specially adapted for specific purposes for measuring temperature of moving solid bodies
- G01K13/08—Thermometers specially adapted for specific purposes for measuring temperature of moving solid bodies in rotary movement
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/346—Testing of armature or field windings
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Control Of Electric Motors In General (AREA)
- Tests Of Circuit Breakers, Generators, And Electric Motors (AREA)
Abstract
The invention provides a motor fault detection method based on an actual state, which comprises the following steps: step (1): collecting motor working information; step (2): performing preliminary fault judgment on the motor; step (3): calculating the angular frequency of a motor voltage signal; step (4): judging whether the motor is abnormal or not according to the angular frequency, and if so, giving an alarm; if not, go to step (5): step (5): judging whether the motor is abnormal or not according to the exciting voltage, and if so, giving an alarm; if not, the motor works normally. The invention provides a motor fault detection method based on an actual state, which can timely find out the abnormality of a motor and improve the working reliability of the motor.
Description
Technical Field
The invention belongs to the technical field of electric power detection, and particularly relates to a motor fault detection method based on an actual state.
Background
The motor is widely applied, and various faults often occur in the long-term operation process, so that the working requirements of users or the safety of a power grid are affected. Therefore, the motor needs to be periodically inspected and monitored, and the current conventional detection mainly comprises current, temperature, vibration and the like, and sometimes the motor cannot be reflected according to the information at the initial stage of abnormality, cannot be found in time, and further faults are further expanded.
The invention provides a motor fault detection method based on an actual state, which is characterized in that the motor is further subjected to fault judgment on the basis of a conventional detection project, and the motor is further judged through the actually calculated angular frequency and the acquired exciting voltage, so that the abnormality can be found more timely, further effective fault treatment is performed, and serious faults or economic losses are avoided.
Disclosure of Invention
The invention provides a motor fault detection method based on an actual state, which can timely find out the abnormality of a motor and improve the working reliability of the motor.
The invention particularly relates to a motor fault detection method based on an actual state, which comprises the following steps:
step (1): collecting the working information of the motor, wherein the working information comprises an input current signal, an input voltage signal, an output voltage signal, an excitation voltage signal, a vibration signal and a bearing temperature;
step (2): performing preliminary fault judgment on the motor;
step (3): calculating the angular frequency of the motor voltage signal;
step (4): judging whether the motor is abnormal or not according to the angular frequency, and if so, giving an alarm; if not, go to step (5)
Step (5): judging whether the motor is abnormal or not according to the exciting voltage, and if so, giving an alarm; if not, the motor works normally.
The step (2) of performing preliminary fault judgment on the motor specifically includes:
(21) Judging whether the temperature of the bearing is greater than a temperature reference value, if so, the motor has a fault; if not, enter (22);
(22) Judging whether the vibration signal is larger than a vibration reference value or not, if so, judging that the motor has a fault; if not, enter (23);
(23) Judging whether the output current is larger than an output current reference value or not, if so, the motor has a fault; if not, enter (24);
(24) Calculating the electric energy loss of the motor;
(25) Judging whether the electric energy loss is larger than an electric energy loss reference value, if so, the motor has a fault; if not, go to step (3).
The specific algorithm for calculating the angular frequency of the motor voltage signal in the step (3) comprises the following steps:
(31) Calculating the input power P of the motor in ＝I 1 U 1 Wherein I 1 For the input current signal, U 1 For the input voltage signal;
(32) Calculating the angular frequency of the motor voltage signalWherein H isThe inertia of the motor rotor, mu is the motor damping factor, U 2max For the maximum value of the output voltage, L is the reactance of the motor,>f is the fundamental frequency of the motor.
In the step (4), the specific method for judging whether the motor has abnormality according to the angular frequency is as follows:
judging whether the angular frequency is in an angular frequency reference range, if not, the motor is abnormal.
In the step (5), the specific method for judging whether the motor has abnormality according to the exciting voltage comprises the following steps:
judging whether the exciting voltage is larger than an exciting voltage reference value or not, if so, judging that the motor is abnormal; if not, the motor works normally.
The exciting voltage reference value is calculated according to the actual condition of the motor, and the specific algorithm is as follows:
wherein τ is the time constant of the motor stator winding, k is the motor excitation coefficient constant, U 1e For the input voltage rating, U fe Is the excitation voltage limit value.
Compared with the prior art, the beneficial effects are that: the motor fault detection method is characterized in that the motor is further subjected to fault judgment on the basis of a conventional detection project, and the motor is further judged through the actually calculated angular frequency and the acquired exciting voltage, so that the abnormality can be found in time, and further effective fault treatment is performed.
Drawings
Fig. 1 is a flowchart of a motor fault detection method based on actual state according to the present invention.
Detailed Description
The following describes a specific embodiment of a motor fault detection method based on actual states in detail with reference to the accompanying drawings.
As shown in fig. 1, the motor fault detection method of the present invention includes the steps of:
step (1): collecting the working information of the motor, wherein the working information comprises an input current signal, an input voltage signal, an output voltage signal, an excitation voltage signal, a vibration signal and a bearing temperature;
step (2): and carrying out preliminary fault judgment on the motor:
(21) Judging whether the temperature of the bearing is greater than a temperature reference value, if so, the motor has a fault; if not, enter (22);
(22) Judging whether the vibration signal is larger than a vibration reference value or not, if so, judging that the motor has a fault; if not, enter (23);
(23) Judging whether the output current is larger than an output current reference value or not, if so, the motor has a fault; if not, enter (24);
(24) Calculating the motor power loss Δp=i 1 U 1 -I 2 U 2 Wherein I 1 For the input current signal, U 1 For the input voltage signal, I 2 For the output current signal, U 2 -providing said output voltage signal;
(25) Judging whether the electric energy loss is larger than an electric energy loss reference value, if so, the motor has a fault; if not, go to step (3);
step (3): calculating the angular frequency of the motor voltage signal:
(31) Calculating the input power P of the motor in ＝I 1 U 1 ；
(32) Calculating the angular frequency of the motor voltage signalWherein H is the inertia of the motor rotor, mu is the motor damping factor, U 2max For the maximum value of the output voltage, L is the reactance of the motor,>f is the fundamental frequency of the motor;
step (4): judging whether the motor is abnormal or not according to the angular frequency:
judging whether the angular frequency is within an angular frequency reference range, if not, giving an alarm when the motor is abnormal; if yes, go to step (5);
step (5): judging whether the motor is abnormal or not according to the exciting voltage: judging whether the exciting voltage is larger than an exciting voltage reference value, if so, giving an alarm when the motor is abnormal; if not, the motor works normally.
The exciting voltage reference value is calculated according to the actual condition of the motor, and the specific algorithm is as follows:
wherein τ is the time constant of the motor stator winding, k is the motor excitation coefficient constant, U 1e For the input voltage rating, U fe Is the excitation voltage limit value.
Finally, it should be noted that the above-mentioned embodiments are merely illustrative of the technical solution of the invention and not limiting thereof. It will be understood by those skilled in the art that modifications and equivalents may be made to the particular embodiments of the invention, which are within the scope of the claims appended hereto.
Claims (6)
1. The motor fault detection method based on the actual state is characterized by comprising the following steps of:
step (1): collecting the working information of the motor, wherein the working information comprises an input current signal, an input voltage signal, an output voltage signal, an excitation voltage signal, a vibration signal and a bearing temperature;
step (2): performing preliminary fault judgment on the motor;
step (3): calculating the angular frequency of the motor voltage signal;
step (4): judging whether the motor is abnormal or not according to the angular frequency, and if so, giving an alarm; if not, go to step (5);
step (5): judging whether the motor is abnormal or not according to the exciting voltage, and if so, giving an alarm; if not, the motor works normally.
2. The motor fault detection method based on the actual state of claim 1, wherein the preliminary fault judgment of the motor in the step (2) specifically includes:
(21) Judging whether the temperature of the bearing is greater than a temperature reference value, if so, the motor has a fault; if not, enter (22);
(22) Judging whether the vibration signal is larger than a vibration reference value or not, if so, judging that the motor has a fault; if not, enter (23);
(23) Judging whether the output current is larger than an output current reference value or not, if so, the motor has a fault; if not, enter (24);
(24) Calculating the electric energy loss of the motor;
(25) Judging whether the electric energy loss is larger than an electric energy loss reference value, if so, the motor has a fault; if not, go to step (3).
3. The motor fault detection method based on actual conditions of claim 2, wherein the specific algorithm for calculating the angular frequency of the motor voltage signal in step (3) comprises:
(31) Calculating the input power P of the motor in ＝I 1 U 1 Wherein I 1 For the input current signal, U 1 For the input voltage signal;
(32) Calculating the angular frequency of the motor voltage signalWherein H is the inertia of the motor rotor, mu is the motor rotorMotor damping factor, U 2max For the maximum value of the output voltage, L is the reactance of the motor,>f is the fundamental frequency of the motor.
4. The method for detecting motor failure based on actual state according to claim 3, wherein the specific method for judging whether the motor is abnormal according to the angular frequency in the step (4) is as follows: judging whether the angular frequency is in an angular frequency reference range, if not, the motor is abnormal.
5. The method for detecting motor failure based on actual state as claimed in claim 4, wherein the specific method for judging whether the motor is abnormal according to the exciting voltage in step (5) is as follows: judging whether the exciting voltage is larger than an exciting voltage reference value or not, if so, judging that the motor is abnormal; if not, the motor works normally.
6. The motor fault detection method based on actual conditions according to claim 5, wherein the exciting voltage reference value is calculated according to the actual conditions of the motor, and the specific algorithm is as follows:wherein τ is the time constant of the motor stator winding, k is the motor excitation coefficient constant, U 1e For the input voltage rating, U fe Is the excitation voltage limit value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311154168.3A CN117368719A (en) | 2023-09-08 | 2023-09-08 | Motor fault detection method based on actual state |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311154168.3A CN117368719A (en) | 2023-09-08 | 2023-09-08 | Motor fault detection method based on actual state |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117368719A true CN117368719A (en) | 2024-01-09 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311154168.3A Pending CN117368719A (en) | 2023-09-08 | 2023-09-08 | Motor fault detection method based on actual state |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117368719A (en) |
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2023
- 2023-09-08 CN CN202311154168.3A patent/CN117368719A/en active Pending
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