CN103675503A - Abnormal state detection system and method for electrical equipment - Google Patents
Abnormal state detection system and method for electrical equipment Download PDFInfo
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- CN103675503A CN103675503A CN201210371346.3A CN201210371346A CN103675503A CN 103675503 A CN103675503 A CN 103675503A CN 201210371346 A CN201210371346 A CN 201210371346A CN 103675503 A CN103675503 A CN 103675503A
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Abstract
The abnormal state detection system and method of the electrical equipment utilize the measuring device to measure the power consumption data of the electrical equipment, and continuously measure the power consumption data of the electrical equipment in a preset time interval, thereby judging the fluctuation type of the electrical equipment and analyzing various characteristic values corresponding to the fluctuation type, and setting various reference values of the electrical equipment according to the various characteristic values corresponding to the fluctuation type, so as to subsequently judge whether the real-time power consumption data of the electrical equipment is abnormal according to the various reference values of the electrical equipment, thereby achieving the effects of real-time detection and early warning.
Description
Technical field
The present invention is about a kind of abnormality detecting system and method for electric equipment, and whether espespecially a kind of electricity consumption data analysis electric equipment according to electric equipment occurs abnormal detecting system and method.
Background technology
Current electricity consumption checkout equipment is mostly only for detection of the electricity consumption data of electric equipment, there is the problem of the wasting of resources, and for electric equipment, occur abnormal, cannot learn in real time, cause the puzzlement in many uses, also cause operating personnel to occur abnormality and to make in response to measure in advance by detecting real-time electric equipment simultaneously.
Therefore, how effectively to improve the utility function of electricity consumption checkout equipment, make the effect that its performance is larger, and can occur abnormality by detecting real-time electric equipment, be this case technical task to be solved.
Summary of the invention
Whether, because the shortcoming of above-mentioned background technology, an object of the present invention is to provide a kind of abnormality detecting system and method for electric equipment, can occur extremely according to the electricity consumption data analysis electric equipment of measuring electric equipment.
Another object of the present invention is to provide a kind of abnormality detecting system and method for electric equipment, can effectively improve the utility function of electricity consumption checkout equipment, make the effect that its performance is larger.
The abnormality detecting system of disclosed electric equipment, comprising: measurement mechanism, the first analytical equipment and the second analytical equipment.This measurement mechanism is for measuring the electricity consumption data of this electric equipment, this first analytical equipment for continuing to receive these electricity consumption data in preset period of time, and this first analytical equipment further includes the first processing module and setting module, this first processing module is for analyzing these electricity consumption data that continue reception in this preset period of time, with the first fluctuation type that judges that this electric equipment is corresponding, and then according to this first fluctuation type, analyze the First Eigenvalue corresponding with this first fluctuation type, this setting module is for according to this First Eigenvalue, set the reference value of this electric equipment, this second analytical equipment is for receiving in real time these electricity consumption data.And this second analytical equipment further includes the second processing module and abnormity detecting module, this second processing module is for analyzing these electricity consumption data of real-time reception, with the second fluctuation type that judges that this electric equipment is corresponding, and then according to this second fluctuation type, analyze the Second Eigenvalue corresponding with this second fluctuation type, this abnormity detecting module is for this first fluctuation type relatively and this second type that fluctuates, and relatively this Second Eigenvalue and this reference value, to detect the abnormality of this electric equipment.
In the abnormality detecting system of above-mentioned electric equipment, this measurement mechanism is located at client, and this first analytical equipment and this second analytical equipment are located at server end.
In the abnormality detecting system of above-mentioned electric equipment, this first, second fluctuation type is regular wave ejector half, irregular wave ejector half or non-Wave type.
In the abnormality detecting system of above-mentioned electric equipment, when this first, second fluctuation type is this regular wave ejector half, the minimum electricity consumption value that this First Eigenvalue, Second Eigenvalue are this electric equipment, the peak value of every secondary undulation, the duration of every secondary undulation and each pulsation-free duration.
In the abnormality detecting system of above-mentioned electric equipment, when this first, second fluctuation type is this irregular wave ejector half, the minimum electricity consumption value that this First Eigenvalue, Second Eigenvalue are this electric equipment and the peak value of every secondary undulation.
In the abnormality detecting system of above-mentioned electric equipment, when this first, second fluctuation type is this non-Wave type, the lasting fixedly electricity consumption value that this First Eigenvalue, Second Eigenvalue are this electric equipment.
In the abnormality detecting system of above-mentioned electric equipment, this setting module also comprises for this reference value sets tolerance value scope, for relatively this Second Eigenvalue, this reference value and this tolerance value scope, to detect the abnormality of this electric equipment.
In addition, the present invention also provides the sensing method for abnormal status of electric equipment, comprises the following steps: to make measurement mechanism to measure the electricity consumption data of this electric equipment; Make the first analytical equipment in preset period of time, continue to receive these electricity consumption data; Make this first analytical equipment analysis in this preset period of time, continue these electricity consumption data that receive, with the first fluctuation type that judges that this electric equipment is corresponding, and then according to this first fluctuation type, analyze the First Eigenvalue corresponding with this first fluctuation type; Make this first analytical equipment according to this First Eigenvalue, set the reference value of this electric equipment; Make the second analytical equipment receive in real time this electricity consumption data; These electricity consumption data that make this second analytical equipment analysis receive in real time, with the second fluctuation type that judges that this electric equipment is corresponding, and then according to this second fluctuation type, analyze the Second Eigenvalue corresponding with this second fluctuation type; And make this second analytical equipment relatively this first fluctuation type and this second type that fluctuates, and relatively this Second Eigenvalue and this reference value, to detect the abnormality of this electric equipment.
In the sensing method for abnormal status of aforesaid electric equipment, this first, second fluctuation type is regular wave ejector half, irregular wave ejector half or non-Wave type.
In the sensing method for abnormal status of aforesaid electric equipment, also comprise for this reference value and set tolerance value scope, for relatively this Second Eigenvalue, this reference value and this tolerance value scope, to detect the abnormality of this electric equipment.
Than background technology, abnormality detecting system and the method for disclosed electric equipment, electricity consumption data by detecting electric equipment, judge according to this fluctuation type of this electric equipment, and analyze the various features value corresponding with this fluctuation type, for setting the reference value of this electric equipment, and detect according to this abnormality of this electric equipment, there is abnormality in detecting real-time electric equipment, for operating personnel, makes in response to measure in advance.
Accompanying drawing explanation
Fig. 1 is the system architecture schematic diagram of the abnormality detecting system of electric equipment of the present invention;
Fig. 2 is the method step process flow diagram of the sensing method for abnormal status of electric equipment of the present invention; And
Fig. 3 A to Fig. 3 C is the example of the electric line oscillogram of the type that respectively fluctuates of the present invention.
Primary clustering symbol description
100 abnormality detecting systems
110 clients
111 measurement mechanisms
120 server ends
121 first analytical equipments
122 first processing modules
123 setting modules
126 second analytical equipments
127 second processing modules
128 abnormity detecting modules
130 electric equipments
S201 ~ S219 step.
Embodiment
By particular specific embodiment, technology contents of the present invention is described below, those skilled in the art can understand other advantage of the present invention and effect easily by content disclosed in the present specification, also can be implemented or apply by other different specific embodiment.
Refer to Fig. 1, it is the system architecture schematic diagram of the abnormality detecting system 100 of electric equipment 130 of the present invention.
As shown in Figure 1, this abnormality detecting system 100 mainly comprises measurement mechanism 111, the first analytical equipment 121 and the second analytical equipment 126, wherein, the first analytical equipment 121 includes the first processing module 122 and setting module 123, and the second analytical equipment 126 includes the second processing module 127 and abnormity detecting module 128.It should be noted that, abnormality detecting system of the present invention can be applied in one-of-a-kind system or network system by actual demand, below only with the present invention, is applied to be described in detail in network system.
This measurement mechanism 111 is for measuring the electricity consumption data of electric equipment 130.
In the present embodiment, this measurement mechanism 111 is for example electric energy meter (power meter), and is arranged at client (client) 110.
This first analytical equipment 121 for continuing to receive these electricity consumption data in preset period of time (as 24 hours), utilize the first processing module 122 to analyze these electricity consumption data that continue reception in this preset period of time, for example, with the first fluctuation type (the regular wave ejector half that judges that this electric equipment 130 is corresponding, irregular wave ejector half or non-Wave type), and then according to this first fluctuation type, analyze and this first at least one corresponding the First Eigenvalue of type (minimum electricity consumption value for example that fluctuates, the peak value of every secondary undulation, the duration of every secondary undulation, each pulsation-free duration, or lasting fixedly electricity consumption value etc.).
In the present embodiment, this first analytical equipment 121 is positioned at server end (server) 120, and receives the collected electricity consumption data of this measurement mechanism 111 by network system.
Particularly, the first analytical equipment 121 of the present invention by collect constantly this measurement mechanism 111 in this preset period of time (being for example 24 hours) the electricity consumption data that arrive of measurement, by the first processing module 122, count corresponding electric ripple shape, and according to the amplitude size of fluctuation, the fluctuation that amplitude is too small is removed, so as to this electricity ripple shape is carried out to round and smoothization processing to produce electric line oscillogram, again according to the electric line oscillogram of this treated mistake, this electric equipment 130 is mainly divided into for example regular wave ejector half, the fluctuation type of irregular wave ejector half or non-Wave type three large kinds.
In the present embodiment, this regular wave ejector half can be for example water dispenser, and its characteristic is that a period of time is bound to start heating electric, adds heat and can not heat for some time again, the generation rule governed (example of electric line oscillogram as shown in Figure 3A) of fluctuation; This irregular wave ejector half is for example duplicating machine or shredder, and its characteristic is, when having use, power consumption just can rise, and the generation section of fluctuation is seen whether this equipment has and used (example of electric line oscillogram as shown in Figure 3 B); But not Wave type is for example light fixture, its characteristic is that power consumption maintains certain numerical value forever, does not have fluctuation and produces (example of electric line oscillogram as shown in Figure 3 C).
In one embodiment, the determination methods of this fluctuation type is: first with (this preset period of time (as 24 hours)/fluctuation number) * 2 that on average fluctuate the time, be made as chronomere, wherein, the vibration frequency that this first processing module 122 checks in each chronomere, if vibration frequency difference not quite, if be judged as, regular wave ejector half vibration frequency changes greatly or vibration frequency over half is 0, if be judged as irregular wave ejector half vibration frequency, is all 0, is judged as non-Wave type.
Then, refer to Fig. 3 A, when these first processing module, 122 these electric equipments 130 of analysis are regular wave ejector half, further in the collected electricity consumption data of this measurement mechanism 111, analyze various features value, as minimum electricity consumption value, the peak value of every secondary undulation, the duration of every secondary undulation and each pulsation-free duration etc. of this electric equipment 130.
In addition, refer to Fig. 3 B, when these first processing module, 122 these electric equipments 130 of analysis are irregular wave ejector half, further in the collected electricity consumption data of this measurement mechanism 111, analyze various features value, as the minimum electricity consumption value of this electric equipment 130 and the peak value of every secondary undulation etc.
In addition, refer to Fig. 3 C, when this first processing module 122 is analyzed these electric equipments 130 and be non-Wave type, further in the collected electricity consumption data of this measurement mechanism 111, analyze various features value, as the lasting fixedly electricity consumption value of this electric equipment 130 etc.
This setting module 123 is positioned at this server end 120, for according to this corresponding at least one the First Eigenvalue of this first fluctuation type, sets at least one reference value of this electric equipment 130, and stores described reference value in this setting module 123.In addition, this setting module 123 also can be set to one item missing tolerance value scope for this at least one reference value, usings as the critical numerical value of tolerating reference value.
In one embodiment, this tolerance value scope is respectively as illustrated below:
Minimum power consumption: without tolerance value scope;
The peak value of every secondary undulation: Max (maximal value * 0.03, maximal value and second largest value subtract each other) is to the scope of Max (minimum value * 0.03, minimum value and sub-minimum subtract each other);
The duration of every secondary undulation: Max (maximal value * 0.03, maximal value and second largest value subtract each other) is to the scope of Max (minimum value * 0.03, minimum value and sub-minimum subtract each other);
Each pulsation-free duration: Max (maximal value * 0.03, maximal value and second largest value subtract each other) is to the scope of Max (minimum value * 0.03, minimum value and sub-minimum subtract each other); And
Continue fixedly power consumption: without tolerance value scope.
This second analytical equipment 126 is arranged at this server end 120, for receiving in real time these electricity consumption data, it utilizes the second processing module 127 to analyze these electricity consumption data that receive in real time, for example, with the second fluctuation type (the regular wave ejector half that judges that this electric equipment 130 is corresponding, irregular wave ejector half or non-Wave type), and then according to this second fluctuation type, analyze and this second at least one corresponding Second Eigenvalue of type (minimum electricity consumption value for example that fluctuates, the peak value of every secondary undulation, the duration of every secondary undulation, each pulsation-free duration, or lasting fixedly electricity consumption value etc.), and then utilize abnormity detecting module 128 relatively this first fluctuation type and this second type that fluctuates, and relatively this at least one Second Eigenvalue and this at least one reference value, to detect the abnormality of this electric equipment.
In addition, above-mentioned tolerance value scope is also for relatively this at least one Second Eigenvalue, this at least one reference value and this at least one tolerance value scope, to detect the abnormality of this electric equipment.
Specify, the second fluctuation type is identical with the content of the first fluctuation type, and Second Eigenvalue is identical with the content of the First Eigenvalue, therefore at this, is not just repeated.
To consult Fig. 1, Fig. 2 and describe in detail the method step process flow diagram of the sensing method for abnormal status of electric equipment 130 of the present invention below.
As shown in Figure 2, first carry out step S201, make measurement mechanism 111 measure the electricity consumption data of electric equipment 130, then proceed to step S203.
In the present embodiment, this measurement mechanism 111 is for example electric energy meter.
In step S203, make the first analytical equipment 121 in preset period of time, continue to receive these electricity consumption data, then proceed to step S205.
In the present embodiment, this preset period of time is for example 24 hours.
In step S205, make this first analytical equipment 121 analyze these electricity consumption data that continue reception in this preset period of time, the first fluctuation type to judge that this electric equipment 130 is corresponding, then proceeds to step S207.
Particularly, the electricity consumption data that measured in 24 hours by collecting constantly this measurement mechanism 111, count corresponding electric ripple shape, and carry out round and smoothization processing to produce electric line oscillogram for this electricity ripple shape, according to the electric line oscillogram of this treated mistake, this electric equipment is mainly divided into for example fluctuation type of regular wave ejector half, irregular wave ejector half or non-Wave type three large kinds again.
In step S207, according to this first fluctuation type, analyze at least one the First Eigenvalue corresponding with this first fluctuation type, then proceed to step S209.
In the present embodiment, when this electric equipment 130 of analysis is regular wave ejector half, further in the collected electricity consumption data of this measurement mechanism 111, analyze various features value, as the minimum electricity consumption value of this electric equipment, the peak value of every secondary undulation, the duration of every secondary undulation and each pulsation-free duration; When this electric equipment 130 of analysis is irregular wave ejector half, further in the collected electricity consumption data of this measurement mechanism 111, analyze various features value, as the minimum electricity consumption value of this electric equipment and the peak value of every secondary undulation; And when this electric equipment 130 of analysis is non-Wave type, further in the collected electricity consumption data of this measurement mechanism 111, analyze various features value, as the fixedly electricity consumption value that continues of this electric equipment.
In step S209, make this first analytical equipment 12 1 according to this corresponding at least one the First Eigenvalue of this first fluctuation type, set at least one reference value of this electric equipment 130, then proceed to step S211.
In step S211, make the second analytical equipment 126 receive in real time these electricity consumption data, then proceed to step S213.
In step S213, make this second analytical equipment 126 analyze these electricity consumption data that receive in real time, with the second fluctuation type that judges that this electric equipment 130 is corresponding, and then relatively whether the first fluctuation type is identical with the second fluctuation type, if so, proceed to step S215, otherwise proceed to step S217.
In step S215, further analyze at least one the Second Eigenvalue corresponding with this second fluctuation type, for more at least one Second Eigenvalue, whether conform to at least one reference value, if so, proceed to step S219, otherwise proceed to step S217.
In the present embodiment, for difference fluctuation type, there is the criterion whether difference " conforms to ", when fluctuation type is while being regular wave ejector half, the duration whether whether minimum electricity consumption value that criterion is for example this electric equipment exceed reference value scope, every secondary undulation lower than the peak value of reference value, every secondary undulation whether exceeds reference value scope and whether each pulsation-free duration exceeds reference value scope; When fluctuation type is while being irregular wave ejector half, whether whether the minimum electricity consumption value that criterion is for example this electric equipment exceed reference value scope lower than the peak value of reference value and every secondary undulation; And when fluctuation type is while being non-Wave type, criterion is continuing fixedly electricity consumption value and whether be not equal to reference value etc. such as this electric equipment.
In step S217, output detecting abnormal signal to represent to detect the abnormality of this electric equipment, then proceeds to step S219 in supvr's end (not icon).
In a preferred embodiment, also can be set to one item missing tolerance value scope for this at least one reference value, for more at least one Second Eigenvalue, at least one reference value, whether conform to at least one tolerance value scope (namely more at least one Second Eigenvalue and at least one reference value add/reduce to one item missing tolerance value scope), if, this tolerance of feedback is worth to adjust new reference value, otherwise output detecting abnormal signal is held in supvr.
In step S219, finish this sensing method for abnormal status.
In sum, the present invention utilizes the electricity consumption data of existing electricity consumption checkout equipment detecting electric equipment, so as to analyzing the fluctuation type of this electric equipment, and further analyze its corresponding various features value according to this fluctuation type, to set the reference value of this electric equipment according to this fluctuation type and various features value thereof, with in this electric equipment in routine use process, when detecting its real-time electricity consumption data while not conforming to this reference value, can export in real time detecting abnormal signal and hold in supvr, to remind operating personnel to make in response to measure in advance.By the present invention, not only can make electric equipment obtain real-time maintenance, also can expand the utility function of electricity consumption checkout equipment, and then effectively improve the utility function of electricity consumption checkout equipment, make the effect that its performance is larger, and can occur abnormality by detecting real-time electric equipment.
Yet above-described embodiment is only in order to illustrative principle of the present invention and effect thereof, but not for limiting the present invention.Any those skilled in the art all can, under spirit of the present invention and category, modify to above-described embodiment.So the scope of the present invention, should be as listed in claims.
Claims (10)
1. an abnormality detecting system for electric equipment, comprising:
Measurement mechanism, it is for measuring the electricity consumption data of this electric equipment;
The first analytical equipment, it receives these electricity consumption data for continuing in preset period of time, and this first analytical equipment comprises:
The first processing module, it with the first fluctuation type that judges that this electric equipment is corresponding, and then analyzes at least one the First Eigenvalue corresponding with this first fluctuation type for analyzing these electricity consumption data that continue reception in this preset period of time; And
Setting module, it,, for according to this at least one the First Eigenvalue, sets at least one reference value of this electric equipment; And
The second analytical equipment, it is for receiving in real time these electricity consumption data, and this second analytical equipment comprises:
The second processing module, it with the second fluctuation type that judges that this electric equipment is corresponding, and then analyzes at least one the Second Eigenvalue corresponding with this second fluctuation type for analyzing these electricity consumption data of real-time reception; And
Abnormity detecting module, it to be for this first fluctuation type relatively and this second type that fluctuates, and relatively this at least one Second Eigenvalue and this at least one reference value, to detect the abnormality of this electric equipment.
2. the abnormality detecting system of electric equipment according to claim 1, is characterized in that, this measurement mechanism is located at client, and this first analytical equipment and this second analytical equipment are located at server end.
3. the abnormality detecting system of electric equipment according to claim 1, is characterized in that, this first, second fluctuation type is regular wave ejector half, irregular wave ejector half or non-Wave type.
4. the abnormality detecting system of electric equipment according to claim 3, it is characterized in that, when this first, second fluctuation type is this regular wave ejector half, the minimum electricity consumption value that this at least one the First Eigenvalue, Second Eigenvalue are this electric equipment, the peak value of every secondary undulation, the duration of every secondary undulation and each pulsation-free duration.
5. the abnormality detecting system of electric equipment according to claim 3, it is characterized in that, when this first, second fluctuation type is this irregular wave ejector half, the minimum electricity consumption value that this at least one the First Eigenvalue, Second Eigenvalue are this electric equipment and the peak value of every secondary undulation.
6. the abnormality detecting system of electric equipment according to claim 3, is characterized in that, when this first, second fluctuation type is this non-Wave type, and the lasting fixedly electricity consumption value that this at least one the First Eigenvalue, Second Eigenvalue are this electric equipment.
7. the abnormality detecting system of electric equipment according to claim 1, it is characterized in that, this setting module also comprises for this at least one reference value and is set to one item missing tolerance value scope, be used for relatively this at least one Second Eigenvalue, this at least one reference value and this at least one tolerance value scope, to detect the abnormality of this electric equipment.
8. a sensing method for abnormal status for electric equipment, comprises the following steps:
Make measurement mechanism measure the electricity consumption data of this electric equipment;
Make the first analytical equipment in preset period of time, continue to receive these electricity consumption data;
Make this first analytical equipment analysis in this preset period of time, continue these electricity consumption data that receive, with the first fluctuation type that judges that this electric equipment is corresponding, and then analyze at least one the First Eigenvalue corresponding with this first fluctuation type;
Make this first analytical equipment according to this at least one the First Eigenvalue, set at least one reference value of this electric equipment;
Make the second analytical equipment receive in real time this electricity consumption data;
These electricity consumption data that make this second analytical equipment analysis receive in real time, with the second fluctuation type that judges that this electric equipment is corresponding, and then analyze at least one the Second Eigenvalue corresponding with this second fluctuation type; And
Make this second analytical equipment relatively this first fluctuation type and this second type that fluctuates, and relatively this at least one Second Eigenvalue and this at least one reference value, to detect the abnormality of this electric equipment.
9. the sensing method for abnormal status of electric equipment according to claim 8, is characterized in that, this first, second fluctuation type is regular wave ejector half, irregular wave ejector half or non-Wave type.
10. the sensing method for abnormal status of electric equipment according to claim 8, it is characterized in that, the method also comprises for this at least one reference value and is set to one item missing tolerance value scope, be used for relatively this at least one Second Eigenvalue, this at least one reference value and this at least one tolerance value scope, to detect the abnormality of this electric equipment.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW101133624A TWI443356B (en) | 2012-09-14 | 2012-09-14 | Detection system and method of abnormal operating states in an electrical appliance |
| TW101133624 | 2012-09-14 |
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| CN103675503A true CN103675503A (en) | 2014-03-26 |
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| CN201210371346.3A Pending CN103675503A (en) | 2012-09-14 | 2012-09-28 | Abnormal state detection system and method for electrical equipment |
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| CN105353256A (en) * | 2015-11-30 | 2016-02-24 | 上海交通大学 | Electric transmission and transformation device state abnormity detection method |
| CN106104282A (en) * | 2014-08-28 | 2016-11-09 | 单立辉 | A kind of electric measurement method based on reference energy |
| CN111913105A (en) * | 2019-05-08 | 2020-11-10 | 丹佛斯电力电子有限公司 | Motor drive and method for monitoring measurement data of an electric motor having an operating point |
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| TWI592774B (en) | 2016-08-08 | 2017-07-21 | 明基能源技術股份有限公司 | Method for identifying actions of electric equipment and system using the same |
| CN110579694B (en) * | 2019-10-10 | 2020-11-10 | 珠海格力电器股份有限公司 | Arc fault detection method and device, storage medium and processor |
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| CN105353256A (en) * | 2015-11-30 | 2016-02-24 | 上海交通大学 | Electric transmission and transformation device state abnormity detection method |
| CN105353256B (en) * | 2015-11-30 | 2018-05-25 | 上海交通大学 | A kind of power transmission and transformation equipment state method for detecting abnormality |
| CN111913105A (en) * | 2019-05-08 | 2020-11-10 | 丹佛斯电力电子有限公司 | Motor drive and method for monitoring measurement data of an electric motor having an operating point |
| CN111913105B (en) * | 2019-05-08 | 2023-06-23 | 丹佛斯电力电子有限公司 | Motor driver and method for monitoring measurement data of an electric motor having an operating point |
Also Published As
| Publication number | Publication date |
|---|---|
| TWI443356B (en) | 2014-07-01 |
| TW201411160A (en) | 2014-03-16 |
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