CN114008469A - Motor loss diagnosis method and motor loss diagnosis system using same - Google Patents
Motor loss diagnosis method and motor loss diagnosis system using same Download PDFInfo
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- CN114008469A CN114008469A CN202180003087.6A CN202180003087A CN114008469A CN 114008469 A CN114008469 A CN 114008469A CN 202180003087 A CN202180003087 A CN 202180003087A CN 114008469 A CN114008469 A CN 114008469A
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- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000003745 diagnosis Methods 0.000 title abstract description 28
- 238000004364 calculation method Methods 0.000 claims abstract description 23
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 21
- 238000011156 evaluation Methods 0.000 claims abstract description 19
- 229910052742 iron Inorganic materials 0.000 claims abstract description 10
- 238000013500 data storage Methods 0.000 claims description 5
- 238000002405 diagnostic procedure Methods 0.000 claims 2
- 230000003071 parasitic effect Effects 0.000 abstract description 3
- 238000013461 design Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 239000011162 core material Substances 0.000 description 3
- 238000001816 cooling Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006698 induction Effects 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
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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
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P29/00—Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors
- H02P29/02—Providing protection against overload without automatic interruption of supply
- H02P29/024—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load
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Abstract
The present invention relates to a motor loss diagnosis method and a loss diagnosis system, and more particularly, to a motor loss diagnosis method and a loss diagnosis system capable of diagnosing individual loss of a motor so as to improve motor efficiency. The motor loss diagnosis method in one aspect of the invention includes a data input step, an individual loss analysis step, an efficiency calculation step, a loss rate evaluation step, and an output step. The data input step receives input of operation data of the motor in order to measure efficiency of the motor. The individual loss analysis step uses the operating data to calculate individual loss ratios of the motor iron loss ratio, mechanical loss ratio, parasitic load loss ratio, stator loss ratio, and rotor loss ratio. The efficiency calculating step calculates the efficiency of the motor using the individual loss rates calculated in the individual loss analyzing step. The loss rate evaluating step calculates a degree to which the individual loss rate calculated in the individual loss analyzing step exceeds an average value of individual loss rate data of the motor satisfying a reference efficiency from a database storing the individual loss rate data. The outputting step outputs the efficiency calculated in the efficiency calculating step and the overrun degree calculated in the wear rate evaluating step. According to the present invention, the individual loss rates of the iron loss rate, the mechanical loss rate, the additional load loss rate, the stator loss rate, and the rotor loss rate of the motor are displayed. It is thus possible to know not only which individual loss ratio the efficiency of the motor is low, but also which part of the motor is improved to improve the efficiency of the motor.
Description
Technical Field
The present invention relates to a motor loss diagnosis method and a loss diagnosis system, and more particularly, to a motor loss diagnosis method and a loss diagnosis system capable of diagnosing individual loss of a motor so as to improve motor efficiency.
Background
An electric machine is a device that converts electrical energy into mechanical energy. Therefore, a high efficiency motor is required to reduce energy costs and carbon emissions. Therefore, since 2008, month 7 and day 1, a minimum efficiency system is implemented in which a high-efficiency motor is forcibly used for a three-phase induction motor having a power of 37kw or more and 200 kw or less. Further, since 1/2010, the minimum efficiency system was also applied to a small-capacity three-phase induction motor having a capacity of 0.75kW or more and 37kW or less.
Such a minimum efficiency system is implemented not only in korea but also worldwide, and thus, if the motor cannot satisfy the reference efficiency, it cannot be sold not only in korea but also in a plurality of countries such as the united states, canada, australia, european union, china, japan, and the like.
Therefore, after the motor is produced, the efficiency of the motor must be measured. The efficiency of the motor is calculated by measuring operating data such as voltage, current, available power, temperature, torque, rotational speed, etc. during operation of the motor.
Korean granted patent No. 10-0944394 (grant date 2010, 02 and 19)
Korean granted patent No. 10-0542893 (grant date 2006, 01, 05)
Disclosure of Invention
Technical subject
Conventionally, the operation data of the motor is measured and the efficiency of the motor is calculated, and only whether the motor satisfies the reference efficiency is judged. Therefore, when the motor does not satisfy the reference efficiency, the redesign is performed and the efficiency of the motor is remeasured. In this case, only the efficiency of the motor is measured, and there is a problem that it is not known where to improve the efficiency of the motor.
The present invention is made to solve the above problems. The invention aims to provide a motor loss diagnosis method and a system thereof, which can measure the efficiency of a motor and grasp factors influencing the efficiency of the motor so as to improve the efficiency of the motor.
Means for solving the problems
The motor loss diagnosis method according to one aspect of the present invention includes a data input step, an individual loss analysis step, an efficiency calculation step, a loss rate evaluation step, and an output step. The data input step receives input of operation data of the motor in order to measure efficiency of the motor. The individual loss analysis step uses the operating data to calculate individual loss ratios of the motor iron loss ratio, mechanical loss ratio, parasitic load loss ratio, stator loss ratio, and rotor loss ratio. The efficiency calculating step calculates the efficiency of the motor using the individual loss rates calculated in the individual loss analyzing step. The loss rate evaluating step calculates a degree to which the individual loss rate calculated in the individual loss analyzing step exceeds an average value of individual loss rate data of the motor satisfying a reference efficiency from a database storing the individual loss rate data. The outputting step outputs the efficiency calculated in the efficiency calculating step and the overrun degree calculated in the wear rate evaluating step.
In the motor loss diagnosis method, it is preferable that the output step outputs the motor loss diagnosis signal so as to know whether the degree of excess calculated in the loss rate evaluation step exceeds the average value by a standard deviation.
Preferably, the motor loss diagnosis method further includes a data storage step of storing the individual loss rate calculated in the individual loss analysis step in the database when the efficiency calculated in the efficiency calculation step is equal to or higher than a reference efficiency.
On the other hand, the motor loss diagnosis system according to another aspect of the present invention includes a data input module, an individual loss analysis module, an efficiency calculation module, a storage module, a loss rate evaluation module, and an output module. The data input module receives input of operating data of the motor for measuring efficiency of the motor. The individual loss analysis module uses the operational data to calculate individual loss rates of iron loss rate, mechanical loss rate, parasitic load loss rate, stator loss rate, and rotor loss rate of the electric machine. The efficiency calculation module calculates the efficiency of the motor using the individual loss rates calculated by the individual loss analysis module. The storage module is provided with a database which stores data of individual loss rates of the motor satisfying a reference efficiency. The loss rate evaluation module calculates the extent to which the individual loss rates calculated by the individual loss analysis module exceed the average of the data stored in the database. The output module outputs the efficiency calculated by the efficiency calculation module and the overrun degree calculated by the wear rate evaluation module.
In the motor loss diagnosis system, it is preferable that the output module outputs the output in such a manner that it can be known whether the degree of excess calculated by the loss ratio evaluation module exceeds the average value by a standard deviation.
In the motor loss diagnosis system, it is preferable that the storage module stores the individual loss rate calculated by the individual loss analysis module in the database when the efficiency calculated by the efficiency calculation module is equal to or higher than a reference efficiency.
Effects of the invention
According to the present invention, the individual loss rates of the iron loss rate, the mechanical loss rate, the additional load loss rate, the stator loss rate, and the rotor loss rate of the motor are displayed. It is thus possible to know not only which individual loss ratio the efficiency of the motor is low, but also which part of the motor should be improved to improve the efficiency of the motor.
Drawings
Figure 1 is a conceptual diagram of one embodiment of a motor loss diagnostic system according to the present invention,
figure 2 is a conceptual diagram of a method of diagnosing losses of an electric machine using the embodiment of figure 1,
fig. 3 and 4 are examples of the output module implementing the output step of the embodiment of fig. 1.
1: motor, 10: motor loss diagnosis system, 11: data input module, 13: individual loss analysis module, 15: efficiency calculation module, 17: storage module, 19: loss rate evaluation module, 21: and an output module.
Detailed Description
Referring to fig. 1 to 4, an embodiment of a motor loss diagnosis system and a motor loss diagnosis method using the same according to the present invention is described.
The motor loss diagnosis system 10 according to the present invention includes a data input module 11, an individual loss analysis module 13, an efficiency calculation module 15, a storage module 17, a loss rate evaluation module 19, and an output module 21.
The input module 11 receives input of operation data of the motor 1 in order to measure the efficiency of the motor 1. The operation data for measuring the efficiency include voltage, current, effective power, temperature, torque, and rotational speed of the motor being driven. The efficiency of the motor 1 is calculated by receiving the input of these data. In order to receive the input of these data, the motor 1 is equipped with a resistance meter, a temperature recorder, a power analyzer, and the like.
The individual loss analysis module 13 calculates individual loss rates such as an iron loss rate, a mechanical loss rate, an additional load loss rate, a stator loss rate, and a rotor loss rate of the motor 1 in driving using these operation data input from the input module 11.
The efficiency calculation module 15 calculates the efficiency of the inspected motor 1 using the individual loss rate calculated by the individual loss analysis module 13. A method of calculating the individual loss rate using these operation data and a method of calculating the efficiency of the motor using the individual loss rate are widely known, and thus detailed description thereof is omitted. After the efficiency calculation module 15 calculates the efficiency of the motor, it can be known whether the motor satisfies the reference efficiency.
The storage module 17 includes a database that stores data of individual loss rates of the motors that satisfy the reference efficiency. That is, the database stores individual loss rates of a plurality of motors that satisfy the reference efficiency through performance tests of the motors. In this case, the average value and the standard deviation of each individual loss factor are known. Thus, the average value and the standard deviation of the individual loss ratios of the motor satisfying the reference efficiency can be known. On the other hand, when the efficiency of the motor calculated by the efficiency calculation module 15 satisfies the reference efficiency, the storage module 17 stores the individual loss rate calculated by the individual loss analysis module 13 in the database, and updates the data of the individual loss rate.
The loss rate evaluation module 19 calculates the degree to which the individual loss rate calculated by the individual loss analysis module 13 exceeds the average value of the data of the individual loss rates stored in the database. In the present embodiment, it is calculated whether the individual loss rate calculated by the individual loss analysis module 13 exceeds the average value of the individual loss rates of the motors satisfying the reference efficiency within the range of the standard deviation. If the value of the individual loss rate is known, not only the efficiency of the motor is calculated, but also the design state of the motor can be grasped. Thus, the motor satisfies the reference efficiency when the individual loss rate calculated by the individual loss analysis module 13 is out of the average value within the standard deviation range. In addition, when the individual loss rate calculated by the individual loss analysis module 13 is poor and the loss rate exceeds the average value by the degree of the standard deviation, the motor does not satisfy the reference efficiency. Furthermore, when a specific individual loss rate is poor, a diagnostic analysis of the motor can be performed.
For example, when the core loss is high in the individual loss rate, it is known that the core material and the plate material are not good in thickness, and it is expected that the efficiency will be improved by improving the core material and the plate material thickness. Further, when mechanical loss such as friction and wind loss is high, it is known that the bearing and fan of the motor are not well designed and manufactured, and cooling is not well performed. Therefore, if the degree of each individual loss rate is known, the design state of the motor can be known. The efficiency of the motor can thereby be increased.
The output module 21 outputs the efficiency calculated by the efficiency calculation module 15 and the degree to which the individual loss rate calculated by the loss rate evaluation module 19 exceeds the average value. Thus, the designer of the motor can thereby know the problems of the motor and the efficiency improvement scheme.
The motor loss diagnosis method using the motor loss diagnosis system of the present embodiment includes a data input step S11, an individual loss analysis step S13, an efficiency calculation step S15, a loss rate evaluation step S17, a data storage step S19, and an output step S21.
The data input step S11 is to measure the efficiency of the motor 1, and the data input module 11 receives input of operation data such as voltage, current, effective power, temperature, torque, and speed of the motor 1 in operation from sensors attached to the motor 1.
In the individual loss analysis step S13, the individual loss analysis module 13 calculates individual loss ratios of the iron loss ratio, the mechanical loss ratio, the additional load loss ratio, the stator loss ratio, and the rotor loss ratio of the motor 1 during operation, using the operation data input from the data input module 11.
The efficiency calculation step S15 is the efficiency calculation module 15 calculating the efficiency of the motor 1 using the individual loss rate calculated in the individual loss analysis step.
The loss rate evaluation step S17 is to compare the database stored in the storage module 17 with the individual loss rate calculated in the individual loss analysis step S13, and calculate the degree to which the individual loss rate calculated in the individual loss analysis step S13 exceeds the average value of the data stored in the database. That is, it is determined whether or not the individual loss rate calculated in the individual loss analysis step S13 exceeds the average value of the individual loss rates satisfying the reference efficiency within the standard deviation. When all the individual loss ratios calculated in the individual loss analyzing step S13 are within the standard deviation, it is known that the motor satisfies the reference efficiency. If a portion of the individual loss ratios exceed the standard deviation, it is known that there is a problem with the design of the motor.
The data storage step S19 is a database that stores the individual loss rate calculated in the individual loss analysis step S13 in the storage module 17 when the efficiency of the motor 1 calculated in the efficiency calculation step S15 is equal to or higher than the reference efficiency. That is, the data storing step S19 is for updating data of the individual loss rate of the motor that satisfies the reference efficiency. Through the data storage step S19, the motor loss diagnostic system 10 can accumulate data for more individual loss rates.
The output step S21 is for the output module 21 to output the efficiency calculated in the efficiency calculation step S15 and the overrun degree calculated in the wear rate evaluation step S17. Fig. 3 and 4 show an example of the output in the output step S21. As shown in fig. 3 and 4, the degree of each individual loss rate can be grasped. If the degree of each individual loss rate is grasped, the problem of the motor is known. As shown in fig. 3, when the iron loss is high, that is, when the standard deviation from the average value is high, it is known that there is a problem in the material of the iron core and the thickness of the plate material, and it is necessary to investigate. Further, as shown in fig. 4, when mechanical loss such as friction and wind loss is high, it is known that the design of the bearing is poor and cooling is poor.
Therefore, according to the present embodiment, it is possible not only to determine whether the efficiency of the motor satisfies the reference efficiency, but also to perform diagnosis of the motor through individual loss analysis of the motor.
Claims (6)
1. A method of diagnosing motor losses, comprising:
a data input step of receiving input of operation data of a motor in order to measure efficiency of the motor;
an individual loss analysis step of calculating individual loss rates of an iron loss rate, a mechanical loss rate, an additional load loss rate, a stator loss rate, and a rotor loss rate of the motor using the operation data;
an efficiency calculating step of calculating an efficiency of the motor using the individual loss rates calculated in the individual loss analyzing step;
a loss rate evaluation step of calculating, from a database storing individual loss rate data of the motor that satisfies a reference efficiency, a degree to which the individual loss rate calculated in the individual loss analysis step exceeds an average value of the data;
an output step of outputting the efficiency calculated in the efficiency calculation step and the overrun degree calculated in the wear rate evaluation step.
2. The motor loss diagnostic method according to claim 1,
the outputting step outputs in such a manner that it can be known whether the degree of excess calculated in the loss rate evaluating step exceeds the average value by a standard deviation.
3. The motor loss diagnostic method according to claim 2,
further comprising a data storage step of storing the individual loss rate calculated in the individual loss analysis step in the database when the efficiency calculated in the efficiency calculation step is equal to or higher than a reference efficiency.
4. A motor loss diagnostic system, comprising:
a data input module that receives input of operation data of a motor in order to measure efficiency of the motor;
an individual loss analysis module that uses the operating data to calculate individual loss rates of an iron loss rate, a mechanical loss rate, an additional load loss rate, a stator loss rate, and a rotor loss rate of the electric machine;
an efficiency calculation module that calculates an efficiency of the motor using the individual loss rates calculated by the individual loss analysis module;
a storage module provided with a database that stores data of individual loss rates of motors that satisfy a reference efficiency;
a loss rate evaluation module that calculates a degree to which the individual loss rate calculated by the individual loss analysis module exceeds an average value of data stored in the database;
an output module that outputs the efficiency calculated by the efficiency calculation module and the overrun degree calculated by the wear rate evaluation module.
5. The motor loss diagnostic system of claim 4,
the output module outputs in a manner that it can know whether the degree of excess calculated by the loss rate evaluation module exceeds the average value by a standard deviation.
6. The motor loss diagnostic system of claim 5,
the storage module stores the individual loss rate calculated by the individual loss analysis module in the database when the efficiency calculated by the efficiency calculation module is greater than or equal to a reference efficiency.
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| KR10-2020-0062723 | 2020-05-26 | ||
| KR1020200062723A KR102253855B1 (en) | 2020-05-26 | 2020-05-26 | Diagnosis method and system of component loss for motor |
| PCT/KR2021/006394 WO2021241952A1 (en) | 2020-05-26 | 2021-05-24 | Motor loss diagnosis method and motor loss diagnosis system using same |
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| KR102253855B1 (en) * | 2020-05-26 | 2021-05-20 | 이레산업(주) | Diagnosis method and system of component loss for motor |
| CN117060597B (en) * | 2023-08-23 | 2024-05-07 | 嘉兴正弦电气有限公司 | Energy storage coordination control method and system for energy storage power station |
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- 2020-05-26 KR KR1020200062723A patent/KR102253855B1/en active IP Right Grant
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