CN101680693A - System and method of diagnosis through detection of mechanical waves in refrigeration systems and/or household appliances - Google Patents
System and method of diagnosis through detection of mechanical waves in refrigeration systems and/or household appliances Download PDFInfo
- Publication number
- CN101680693A CN101680693A CN200880018127A CN200880018127A CN101680693A CN 101680693 A CN101680693 A CN 101680693A CN 200880018127 A CN200880018127 A CN 200880018127A CN 200880018127 A CN200880018127 A CN 200880018127A CN 101680693 A CN101680693 A CN 101680693A
- Authority
- CN
- China
- Prior art keywords
- refrigeration system
- electrical appliance
- household electrical
- diagnostic
- operating conditions
- 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.)
- Granted
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B49/00—Arrangement or mounting of control or safety devices
- F25B49/005—Arrangement or mounting of control or safety devices of safety devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B49/00—Arrangement or mounting of control or safety devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Thermal Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Air Conditioning Control Device (AREA)
- Devices That Are Associated With Refrigeration Equipment (AREA)
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The present invention relates to a system and a method of diagnosis for a refrigeration system and/or household appliance which, based on a multiplicity of physical magnitudes detected, determine andinform the operating condition of said refrigeration system and/or of its components. Basically, the magnitudes are divided into two groups, namely: (i) those from which spectral signatures will be generated (magnitudes relating to mechanical vibrations); and (ii) magnitudes from which spectral signatures will not be generated. The spectral signatures are compared with the standard signatures, andthe diagnosis is provided based on this comparison. After the operating condition has been diagnosed, it is stored in a database, and a record of the system operation is updated. The operating conditions are made available for viewing, and based on the record viewed, it is possible to determine whether or not the refrigeration system and/or household appliance and the components thereof are malfunctioning or not. The application further describes a compressor whose diagnosis can' be determined by the method and system of diagnosis according to the present invention.
Description
The application requires the priority of the Brazilian patent No.PI702369-3 of submission on May 29th, 2007, is incorporated herein its disclosed content as a reference.
Technical field
The application relates to a kind of diagnostic system and method, can make that the operating conditions of household electrical appliance, refrigeration system and/or its assembly can be seen immediately or after a while.The invention further relates to a kind of compressor by diagnostic system of the present invention and method diagnosis.
Background technology
Refrigeration system is known by most of people usually.Therefore, because these systems are that people are required under many situations, their method of operating can be handled, control or be diagnosed to exploitation is significant.But, before the kind of the method for mentioning some control refrigeration systems, need the example and the application thereof of the typical prior art of description refrigeration system.
Typically, refrigeration system comprises the loop, and cooling fluid is advanced therein and passed some assemblies, and the volume of fluid is inflated and compresses during advancing, and its temperature and pressure also rises and descends.When relating to fluid, the close relation of observing between the above-mentioned value is important.
The assembly that forms common refrigeration system for example is: compressor, evaporimeter, condenser and capillary.Compressor is as its indication, and the compression cooling fluid increases its pressure and temperature thereof, makes fluid be sucked and promotes and flow in cooling circuit.
After leaving compressor, cooling fluid cycles through the condenser of being responsible for reducing fluid temperature (F.T.) and not reducing its pressure.Condenser is generally long duct, and this long duct is arranged to have in the end and passes through to wriggle or the interconnective straight line parallel part of sweep, and shape is roughly serpentine.Therefore, because this condenser contacts with environment, when cooling fluid circulation time in condenser is distributed to environment with heat, its temperature is minimized.
Therefore cooling fluid flows to capillary from condenser, is also referred to as expansion valve, and its function is to form the resistance that convection cell passes through, and causes fluid in condenser and the big pressure differential between the fluid in next assembly, and next assembly is an evaporimeter, and wherein pressure is low.Therefore, because poor between the low pressure in the evaporimeter and the high pressure in the capillary, high fluid resistance, cooling fluid experiences sudden change when it flows to evaporimeter, and its volume expands suddenly and is inserted in the environment under low pressure.Therefore, consider the close relation between temperature, pressure and the volume value, can sum up: increase and the pressure reduction as fruit volume, the temperature of cooling fluid also reduces, and is of value to absorbing the amount of heat that contacts with described evaporimeter.
At last, the cooling fluid that is in this expanding volume, low pressure and low temperature situation flows to compressor from evaporimeter, and its volume is reduced and its pressure and temperature increase in compressor, restarts kind of refrigeration cycle.
It is cooled or have in the device of refrigerating function that the canonical system of above example can be used on domestic refrigerator, air-conditioning, commercial refrigerator, product introduction refrigerator-freezer and any needs.
Now described refrigeration system, we get back on the problem how to control, diagnose or handle its operation.In this, it is to be noted really existing a kind of system and method for controlling temperature in refrigeration and the heating of prior art, but a kind of tracing trouble and the therefore system or the method for the prevention significant trouble that can take place in this system are not provided.
Therefore, for the diagnosis of refrigeration system, can be in all fairness, for described system suitably works, refrigeration system and assembly thereof (fan, anti-thawing apparatus, stop valve, compressor or the like) need different steadiness characteristics.But these characteristics can become according to the residing environment of refrigeration system, consider that each environment all has time-varying particular characteristics, for example: humidity, dust and ventilation.In addition, other factors can change the steadiness characteristic of assembly, comprise that service condition, wearing and tearing and assembly are aging.That is, in the service life scope, assembly and any physical unit are because environment or service condition and all through frayed and change ability to work.
Therefore, the aging fault that can cause these devices of service condition, wearing and tearing and assembly, it is reflected on the efficient of refrigeration system.These faults can be divided into two groups: (i) entirely ineffective; And (ii) slight deviations.
Under entirely ineffective situation, the defectiveness element of system can show as irregular or intermittently operated or can be invalid fully, endangers whole kind of refrigeration cycle.Therefore, the fault of this value can be brought massive losses, at first is the element arranged in series owing to typical refrigerating circuit, and promptly a defective unit can make System Operation paralyse.
Secondly, the user can only notice the deviation in the kind of refrigeration cycle after the long-time past because system has very big time constant, and the loss that is caused by the generation of this kind fault is because the slow process of Fault Identification in some cases.In the case, when defective was not detected, even system is still working, this system incited somebody to action no longer normal running and will make the assembly overload, reduces their service life greatly.In many cases, the loss that is caused by the damage refrigeration load can surpass the cost of safeguarding refrigeration system.
On the other hand, be the variation that can occur because fault is mistaken as easily by the system that environment temperature and/or heat load change cause, when therefore in operating, having slight deviations, the process of identification defectiveness element even slower and more difficult.Therefore, when this fault finally was identified, unfortunately, the time of the system failure may enough be endangered one or more assemblies or or even cooled load.Except these complex situations, in most of the cases the process of defect recognition is rule of thumb carried out, based on attendant's previous experience.
In addition, some breakdown of refrigeration system be cause by the improper operation of user and by the people around this refrigeration system or even ignore with the interactional people of improper mode with this refrigeration system and to use identification to cause.
Yet, when the notion of refrigeration system is extrapolated to when being used for diagnostic purpose and considering household electrical appliance commonly used, fault of the same type and also can take place about the difficulty of these Fault Identification.
In this article, up to the present, still unexposed any such diagnostic system of prior art or method, promptly this diagnostic system or method can detect the fault in refrigeration system component or the household electrical appliance commonly used by both devices of value that use the characteristic that detects refrigeration system or the inner value of household electrical appliance and expression environment or cooled load, under the situation of refrigeration system, this system or method are reported to the police to the user needs preventive maintenance, thus the minimization device downtime.
Because this gap in the prior art, also do not have now the compressor of refrigeration system or other spinner members by a kind of can detection failure and use the diagnostic system of the device that detects the inside and outside value of compressor or method and diagnosed, need preventive maintenance thereby report to the police to the user.
Summary of the invention
Therefore, first purpose of the present invention is to provide a kind of diagnostic method, and it can limit the required step of diagnosis of the working condition of carrying out refrigeration system or household electrical appliance.
Second purpose of the present invention is to provide a kind of diagnostic system that is used for refrigeration system or household electrical appliance, and this diagnostic system can detect the specific fault relevant with each monitored assembly.At last, the 3rd purpose of the present invention is to provide a kind of refrigeration system compressor, and the diagnosis of this compressor is limited by diagnostic system and/or the diagnostic method quoted in the paragraph before.
First purpose of the present invention realizes that by a kind of diagnostic method that is used for refrigeration system or household electrical appliance this diagnostic method comprises step:
(i) detection signal wherein, comes from refrigeration system and detected near the vibrating machine ripple signal or the sound pressure signal of the environment of this system or electrical equipment;
(ii) generate the spectrum signature (spectralsignature) of detected vibration parameters in the step (i);
(iii) assess the operating conditions of the assembly of this refrigeration system or household electrical appliance: wherein, compare with the spectrum signature of the normal running situation that relates to this refrigeration system or household electrical appliance at the spectrum signature that step generates in (ii);
(iv) new record more: the operating conditions at step assembly of evaluated refrigeration system or household electrical appliance in (iii) is deposited in the database; And
(v) operating conditions warning/signalling: wherein, step (iii) in evaluated operating conditions make visual.
Second purpose of the present invention realizes that by a kind of diagnostic system that is used for refrigeration system or household electrical appliance commonly used this system comprises at least:
-sensor, described sensor can detect as a whole refrigeration system component and the mechanical oscillation or the acoustic pressure wave of surrounding environment or household electrical appliance and surrounding environment thereof; And
-digital processing element, described digital processing element receive the parameter that is obtained by sensor and can discern the spectrum mode of the signal that receives from sensor.
Diagnostic system is determined operating conditions by spectrum mode that relatively identifies and the spectrum mode that is stored in the memory cell before.
The 3rd purpose of the present invention realizes that by refrigeration system compressor the diagnosis of this compressor uses the diagnostic system of first and second purposes and/or method to make.
Description of drawings
Below will describe the present invention in detail based on the accompanying drawing illustrated embodiment.Accompanying drawing shows:
Fig. 1-, comprise preferred implementation and optional embodiment according to the schematic diagram of diagnostic system of the present invention; And
Fig. 2-according to the flow chart of diagnostic method of the present invention.
The specific embodiment
Before beginning descriptive system and method self thereof, theme of the present invention related each conception of species and feature at first will be described, be divided into following theme.
Refrigeration system and household electrical appliance
Operating conditions can be used for different refrigeration purposes by the refrigeration system of method and system diagnosis of the present invention, for example: commercial refrigerator, domestic refrigerator, refrigerator-freezer, air-conditioning or the like.Method and system of the present invention also can be used for other possibility purposes outside institute's example.
Preferably with conceptive ground, the refrigeration system that be diagnosed is defined as the system that comprises basic cooling module, just: compressor, condenser, expansion gear and evaporimeter, and the same prior art of their operation.
In addition, the present invention has also considered the diagnosis household electrical appliance and has been not only the possibility of the operating conditions of refrigeration system in its diagnostic system and method.Household electrical appliance can be any electrical equipment known in the art that can be diagnosed by diagnostic method of the present invention and/or diagnostic system.
Value and sensor
For the operation of diagnostic system of the present invention and method, need to measure some values.
Therefore, in refrigeration system or household electrical appliance, in the middle of related some magnitudes of physical quantity, preferably will can be divided into two groups with those values in the system and method for the present invention, just:
(i) the mechanical wave signal or the acoustic pressure wave of the surrounding environment of the assembly of refrigeration system or this refrigeration system as a whole and/or household electrical appliance and refrigeration system and/or household electrical appliance; And
The (ii) parameter of refrigeration system and cooled environment, or the parameter of household electrical appliance.As described below, first group more important when determining the operating conditions of system, and second group be used to strengthen or confirm based on first group of analysis of being done.
More specifically, the value of group (i) is the mechanical oscillation of the assembly of refrigeration system and/or household electrical appliance, and the fact that vibration is to be associated with at least one compressor or other spinner members that can incorporate refrigeration system into by assembly causes.This group further comprises the noise that is moved and produced by people in refrigeration system and/or the household electrical appliance surrounding environment.
Group value (ii) is preferably but is not limited to following value: external temperature; Under the situation of refrigeration system, the temperature of cooled environment; The voltage and current of the assembly of refrigeration system and/or household electrical appliance.
Therefore,, need a plurality of sensors, make that system and method for the present invention can be based on the data diagnosis refrigeration system of collecting to detect all these parameters owing to need to measure above-mentioned value.
Therefore, at least one sensor 2 or a plurality of sensor 2 are responsible for the value of test set (i), promptly, be responsible for detecting the mechanical wave signal (also can be called as mechanical oscillation or acoustic pressure wave) of refrigeration system component, refrigeration system as a whole and/or household electrical appliance, sensor 2 preferably includes: accelerometer, loudspeaker or audio sensor, the aforementioned mechanical oscillation or the acoustic pressure wave of this loudspeaker or audio sensor energy detection components, or even can detect the noise that produces by the people who in refrigeration system and/or household electrical appliance surrounding environment, circulates or exist.But, can use any combination of described preferred implementation, that is, accelerometer, loudspeaker or audio sensor can use separately, and perhaps accelerometer can use or loudspeaker can use or the like with one or more audio sensors with one or more loudspeakers.Therefore, the combination of these sensors obviously is not the limiting factor of the scope of the invention.
A plurality of responsible test set (ii) second sensor 3 of value preferably include: at least one measures the temperature sensor of the internal temperature of refrigeration system (if words applicatory, and household electrical appliance); At least one measures the temperature sensor of the temperature of refrigeration system and/or household electrical appliance outside; And voltage and current sensor.
Preferably, described a plurality of first sensor 2 comprises that at least one detects the loudspeaker that the people moves in refrigeration system and/or household electrical appliance surrounding environment and detects refrigeration system and/or the mechanical oscillation of household electrical appliance or the loudspeaker of pressure wave.
These a plurality of first and second sensors 2,3 can be placed in the diverse location of refrigeration system and/or household electrical appliance according to the value that will detect.In this respect,, detect the loudspeaker of people's existence in refrigeration system and/or the household electrical appliance surrounding environment, for example should place the position that to detect near the noise signal that has the people to exist the expression and circulate for described a plurality of first sensors 2.With the refrigeration system that is associated with commercial refrigerator (usually with at the supermarket and also be used to display goods) is example, and in question described loudspeaker can be placed on the front portion of refrigerator, because this is the position of most probable near the people.
Under the situation of refrigeration system, external temperature sensor preferably is placed in the outside of refrigeration system usually, and internal temperature sensor is placed in the position that can detect the temperature in the cooled load area.In addition, for described a plurality of second sensors 3, the voltage and current sensor need be placed on the position near assembly, can produce improving or affirmation of diagnosis thus, and is as described below.
Spectrum signature
Diagnostic system of the present invention and method are used spectrum signature, make the operating conditions of refrigeration system to be determined and user or the personnel that are responsible for safeguarding can obtain reporting to the police.
Spectrum signature may be defined as the conversion that the time-based behavior of assembly changes into the value in the frequency domain, and in other words, spectrum signature equals the frequency spectrum of vibrating elements (motor, compressor or the like).Under situation of the present invention, spectrum signature is preferably generated by described a plurality of first sensors 2, these first sensor 2 intentions detect the mechanical oscillation or the acoustic pressure wave of refrigeration system and/or household electrical appliance, also intention detects the noise of refrigeration system and/or household electrical appliance surrounding environment, and promptly spectrum signature is generated by mechanical wave signal (vibration and sound).Therefore, the value of being discussed is at first detected by their sensors separately, then generated frequency spectral line, i.e. spectrum signature after application specific algorithms.Preferably, this special algorithm is Fourier transform (FFT) type.
Therefore, the assembly of considering the refrigeration system that is in the normal running situation is to determine frequency vibration and to have definite amplitude (the two is all by its spectrum signature identification), even minimum vibration all will change common frequency of this assembly and amplitude and this assembly and will begin to vibrate with other frequencies and amplitude in the operation, promptly be in the abnormal operation situation.
If we with motor or even compressor be example, this can be observed.In the case, when compressor vibrated under the normal running situation, it can produce the noise that can hear of CF and amplitude, but the sound of noise changes when motor for example breaks down.In other words, if sound constitutes by a series of frequencies with the amplitude of described frequency dependence, because frequency of oscillation changes with relevant amplitude, so the sound of the change of this fault motor indicates the change of its normal running situation automatically.
Based on this reason, the change of operating conditions can compare with the spectrum signature that generates from nearest detected vibration by the spectrum signature that will obtain under the normal running situation and detect.Therefore, the system as a whole that is associated with described a plurality of first sensors 2 and/or the operating conditions of household electrical appliance or its assembly are in time monitored.
Similarly, in the situation of people in detecting refrigeration system and/or household electrical appliance surrounding environment, the noise that records is switched to frequency domain, thereby make the frequency mode of the noise relevant generate with people's quantity, when this pattern changes, the clear reading that can the acquisition behavior changes by the spectrum signature of standard of comparison situation and the spectrum signature that generates from the mechanical oscillation that record sound recently.
Operator scheme
For the system diagnostics that will confirm, as mentioned above, the standard frequency spectrum feature of system need compare with the spectrum signature that generates from current operating conditions.For this reason, method and system of the present invention depends on the standard frequency spectrum feature that is stored in the database.What be further noted that is that system and method for the present invention can use the spectrum signature scope relevant with operating conditions or make diagnosis at interval.In this case, compare between the characteristic range that will in feature that generates and database, store.In addition, above-mentioned database might have the series of standards value, is used for the parameter (just: electric current, voltage and temperature) that will not generate spectrum signature, i.e. the non-vibration signal.Therefore, can between for example normal voltage and reading voltage, compare to improve or to confirm by comparing the diagnostic result that spectrum signature was obtained.System and method of the present invention has also considered to be the possibility of an above mode of vibration storage operation pattern.Conceptive, mode of vibration is the level of system and/or the vibration of its assembly, and promptly assembly is set at the level of this vibration.For example, set be operated in 0 or the compressor of 3600rpm comprise two mode of vibrations, just: 0 and 3600rpm.On the other hand, speed changeable compressor is because the changeability of its rotation can comprise diversified mode of vibration.
Therefore, the spectrum signature and the operating conditions pattern of each mode of vibration that database storage has corresponding to assembly or system, that is, each mode of operation generates specific spectrum signature for given associative operation situation.
In the case, to only compare limiting between same mode of vibration or the feature relevant with this same mode of vibration, that is, if the feature that generates is based on the 3600rpm reading of vibration down, the feature of this generation will compare with the standard frequency spectrum feature of the operating conditions of identical rotation.
Preferably, the assembly of refrigeration system has at least two modes of operation, and if words applicatory, can have plural mode of operation, that's how things stand for speed changeable compressor.
Service recorder
When diagnostic system and method detected the parameter that obtains by a plurality of first and second sensors and vibrate, the data relevant with these continuous-readings were stored in the aforesaid database.These data comprise the date and time of reading, just checked assembly and corresponding operating conditions thereof, thus make service recorder be created.
This service recorder comprises the data of each measurement, might tracking system and/or household electrical appliance and assembly operating conditions in time thereof thereby make.Therefore, just in case refrigeration system and/or household electrical appliance meet with the fault of slight deviations type, described fault will be detected easily, because user or the personnel that are responsible for safeguarding will often notice that system presents slight variation on its operation behavior, therefore got rid of slight deviations has been thought by mistake be because the possibility of the minor variations of the operating conditions that environmental change causes.
In fact, can eliminate this when analyzing service recorder obscures, because the behavioural trend of the magnitude of physical quantity of refrigeration system and/or household electrical appliance is in the variation that conforms (for example variations in temperature) and get back to balance after one period short time, and under the situation of failure of removal, they trend towards remaining on the operating conditions of abnormal operation situation in one period longer time.
Report to the police and signal
Relatively intact spectrum signature (and if words applicatory, other can not generate the value of spectrum signature) afterwards, system and method for the present invention needs can be to user or the personnel that are responsible for the safeguarding possible fault of reporting to the police.Therefore, system and method for the present invention has warning interface 6, shown in its name, departs from the early warning of normal running situation for about system the user.
Preferably, warning interface 6 comprises display and/or the terminal that at least one is connected with portable reading device, therefore makes operating conditions to see.
Therefore, life cycle ground is diagnosed the operating conditions of refrigeration system and/or household electrical appliance and is notified the system and method for the present invention of these situations of user, can stop the damage to they corresponding assemblies at an easy rate.
Diagnostic system
Since described assembly and some characteristics of diagnostic system, also should describe the interaction between the element that forms described system.Therefore, can see that diagnostic system 1 of the present invention comprises: a plurality of first sensors 2, a plurality of second sensors 3, digital processing element 4, at least one memory cell 5 and warning interface 6 from Fig. 1.Be to be noted that and consider that described a plurality of second sensor 3 is that optionally therefore, Fig. 1 illustrates the preferred implementation of diagnostic system of the present invention, combines optional embodiment for realization of the present invention.
As previously mentioned, described a plurality of first sensors 2 detect the mechanical oscillation relevant value inside and outside with refrigeration system, collect the parameter about personnel movement and refrigeration system vibration.
In the optional embodiment of this diagnostic system, described a plurality of second sensors 3 detect the value that will support and improve the diagnosis that obtains based on mechanical oscillation.
To be transferred to by described a plurality of first and second sensors, 2,3 detected values and to be responsible for the information reading is converted to parameter so that obtain the digital processing element 4 of diagnosis.Contact between sensor and the described digital processing element 4 can be set up by electric wire and cable, if perhaps designer and those skilled in the art's preference, can set up by wireless technology, and to point out that importantly data transmission device is not the factor that limits the scope of the invention, therefore can use other devices, form and method.
Memory cell 5 links to each other with digital processing element 4, and memory cell 5 is stored the standard frequency spectrum feature of refrigeration system and/or household electrical appliance and the parameter value that limits in advance and service recorder (records of the data that obtain from a plurality of first and second sensors) in this database.This memory cell 5 is preferably non-volatile type, for example: EPROM, EEPROM, FLASH or the like.
Therefore, for the refrigeration system diagnosis that will make, digital processing element 4 is set as the spectrum signature of generation from the parameter of described a plurality of first sensors 2 acquisitions, promptly, from the signal of receiving from least one sensor, discern frequency spectrum parameter, with the feature that will generate and the standard frequency spectrum feature compares and import service recorder in memory cell 5 databases.
By at the spectrum signature that generates recently and be stored in the database, can detect the fault whether refrigeration system has entirely ineffective type immediately, if for example assembly is complete when invalid corresponding to the comparison between those spectrum signatures of normal running situation.
On the other hand, just in case the component table of refrigeration system reveals the discontinuous operation behavior, make can see the time when service recorder, it will indicate this fault, because irregular being identified of system or the activity in time of one or more assembly.In like manner be applicable to the slight deviations in the operating conditions, as already discussed.
In the optional embodiment, except the diagnosis of making by the comparison spectrum signature, diagnostic system of the present invention has been considered the possibility that other can assist the value of determining operating conditions, and described back work is as the side information of confirming purpose.For example, be in invalid situation fully, can use electric current, voltage, temperature or other values that does not generate spectrum signature whether invalid really with checking and affirmation assembly just in case assembly is found.In fact, be read but the value that can not generate spectrum signature based on the predetermined value of storage in the memory cell 5 and decipher or not decipher.
What be further noted that is that this digital processing element 4 links to each other with warning interface 6, makes the data relevant with the operating conditions of refrigeration system make the acquisition back and just can see immediately by described interface 6.
Diagnostic method
More specifically, diagnostic system of the present invention comes to provide information about refrigeration system and/or household electrical appliance to the user by diagnostic method, and this diagnostic method is differentiated the action that diagnostic system is carried out by its step.
Step (i) signal detection
According to this method, its flowchart illustrations is in Fig. 2, and the first step is a signal detection, comprises mechanical wave signal, vibration signal or the sound pressure signal of detection from refrigeration system and/or household electrical appliance.In the optional embodiment, this step can comprise the non-vibration signal of detection and system and/or household electrical appliance parameter correlation.
Physically, described mechanical wave signal is corresponding to the mechanical wave of the structure-borne of passing through air or refrigeration system and/or household electrical appliance, that is, they comprise signal relevant with the noise that produces of people in the refrigeration system surrounding environment and the signal of being correlated with the mechanical oscillation of system and assembly thereof.And then the non-vibration signal is corresponding to not relevant with the mechanical oscillation parameter with the diagnosis refrigeration system that measures, for example temperature, voltage and current, and the refrigeration system that relates to as a whole relates to or its one or more assemblies.
Relation between step (i) and the diagnostic system
Signal detection step is carried out by a plurality of first and second sensors 2,3.The mechanical wave signal is detected by a plurality of first sensors 2, and the non-vibration signal is detected by a plurality of second sensors 3.After the detection, as previously mentioned, these signals are transferred to digital processing element 4 immediately.
Step (ii)-generate spectrum signature
After the Data Detection, comprise the step of the spectrum signature that generates the mechanical wave signal according to diagnostic method of the present invention.In this step, to take place in the diagnostic system similar, detected signal is converted into frequency domain so that generate its spectrum signature then.
Step (ii) and the relation between the diagnostic system
The spectrum signature of second step of this method algorithm by the fast Fourier transform (FFT) type in the digital processing element 4 of diagnostic system generates.
Step (iii)-the evaluation operation situation
In case obtain the spectrum signature of detected mechanical wave signal, this method is made assessment to the operating conditions of the assembly of refrigeration system and/or household electrical appliance, that is, the spectrum signature that step is generated in (ii) compares with standard frequency spectrum feature corresponding to the normal running situation of refrigeration system and/or household electrical appliance.This information will be enough to determine whether normal running of system.But in order to increase the reliability of the diagnosis that the inventive method provides, this step (ii) further comprises the decipher of the value of non-vibration signal representative.Therefore, will be verified, strengthen and guarantee the reliability of the diagnosis that provides about the conclusion of vibration signal.
To take place in the diagnostic system similar, this decipher can be based on predetermined value by relatively making or not making.
Just in case system has different mode of vibrations, the spectrum signature of generation will compare with the standard frequency spectrum feature that relates to detected mode of vibration, therefore guarantee the diagnosis of acquisition to identical mode of vibration.
Step (iii) and the relation between the diagnostic system
Being evaluated in the digital processing element 4 of operating conditions made with the spectrum signature relevant with the normal running situation in being stored in memory cell 5 databases before by the spectrum signature that relatively generates.In addition, digital processing element 4 is the cohesion of checking and the parameter of non-vibration signal correction further, based on predetermined value or the setting of setting up before and decipher.Therefore, the diagnosis that is produced by spectrum signature is confirmed by the non-vibration value.
Step (iv)-record upgrades
In case discerned and confirmed assembly and the result system as a whole and/or the operating conditions of household electrical appliance, this method advances to step (iv), this step comprises the renewal service recorder, and promptly the value of the non-vibration signal that obtains in the operating conditions of refrigeration system component of assessment and the step (i) in (iii) of step is deposited in the database.
Therefore, along with the establishment of service recorder, tracking system cooling system and/or household electrical appliance operating conditions are possible over time.Therefore, conform and change the required time if the time period that the frequency of assembly and amplitude keep changing exceeds them, can conclude or authentication system in have fault.
Step (iv) and the relation between the diagnostic system
The record that step is generated by digital processing element 4 in (iv) is stored in memory cell 5 databases.
Step (v)-operating conditions warning/signalling:
In case record upgrades, user or the responsible personnel that safeguard need notified operating conditions, make just in case generation is any unusual, can adopt appropriate measures to address this problem.Therefore, the (iii) middle operating conditions that obtains of step is made visual.
Step (v) and the relation between the diagnostic system
The operating conditions of diagnostic system is reported to the police and the signalling step is carried out by warning interface 6, and as previously mentioned, warning interface 6 can be display or the terminal that is connected with portable reading device.
Compressor
Outside diagnostic system and method, the invention further relates to a kind of compressor, it is as the assembly of refrigeration system, and it is diagnosed by being determined according to diagnostic system of the present invention and method.
This compressor can be any conventional compressor that can implement diagnostic system of the present invention and method.
Described the example of preferred implementation, be understood that scope of the present invention comprises that other possible changes also only are subject to the content of accompanying Claim, comprise possible equivalent at this.
Claims (13)
1. a diagnostic method is used for refrigeration system or household electrical appliance, it is characterized in that comprising step:
(i) detection signal: this step comprises the mechanical wave signal that detects environment described refrigeration system and close this system or household electrical appliance;
(ii) be created on the spectrum signature of detected vibration parameters in the step (i);
(iii) assess the operating conditions of the assembly of described refrigeration system or household electrical appliance: wherein, the (ii) middle described spectrum signature that generates of step is compared with the spectrum signature relevant with the normal running situation of described refrigeration system or household electrical appliance.
2. diagnostic method according to claim 1, wherein, the operating conditions of the assembly of (iii) middle described refrigeration system of assessing of step or household electrical appliance is deposited in the database.
3. diagnostic method according to claim 1, wherein, the (iii) middle described operating conditions that obtains of step is made visual by the warning interface.
4. diagnostic method according to claim 1, it is characterized in that, described mechanical wave comprises the mechanical oscillation of the mechanical oscillation of the assembly of described system, refrigeration system as a whole, the mechanical oscillation of described household electrical appliance, or the mechanical oscillation of described refrigeration system or household electrical appliance surrounding environment.
5. diagnostic method according to claim 1 is characterized in that, for the different vibration modes of the mechanical wave signal of described refrigeration system or household electrical appliance, and a plurality of spectrum signatures relevant of database storage with the standard operation situation.
6. according to the described diagnostic method of claim 1 to 5, it is characterized in that, step (iii) in, originate from the described spectrum signature of vibration mode and the spectrum signature of a plurality of standard operation situations and compare, described standard feature is relevant with the oscillation mode identical with the spectrum signature that generates.
7. a diagnostic system is used for refrigeration system or household electrical appliance commonly used, it is characterized in that comprising:
At least one sensor (2), described at least one sensor can detect the assembly of described refrigeration system as a whole and the mechanical wave signal of surrounding environment thereof, or detect the mechanical wave signal of described household electrical appliance and surrounding environment thereof; And
Digital processing element (4), described digital processing element receive the parameter that is obtained by described sensor (2) and can identify spectrum mode from the signal that described sensor is accepted.
8. diagnostic system according to claim 7 is characterized in that, described digital processing element (4) compares the current operating conditions of discerning described system by the spectrum mode with described signal with the preset mode that is stored in the memory cell (5).
9. diagnostic system according to claim 7 is characterized in that, the record of the operating conditions of the described system of described digital processing element (4) storage is also discerned its behavior pattern in time.
10. diagnostic system according to claim 7 is characterized in that, described sensor (2) comprises accelerometer, loudspeaker and audio sensor.
11. diagnostic system according to claim 7 is characterized in that, warning interface (6) comprise at least one display or the terminal that is used to connect reading device.
12. a refrigeration system compressor is characterized in that, carries out the diagnosis of described compressor by the described diagnostic method of claim 1 to 6.
13. a refrigeration system compressor is characterized in that carrying out the diagnosis of described compressor by the described diagnostic system of claim 7 to 11.
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| BRPI0702369-3 | 2007-05-29 | ||
| BRPI07023693 | 2007-05-29 | ||
| BRPI0702369-3A BRPI0702369A2 (en) | 2007-05-29 | 2007-05-29 | Diagnostic system and method by capturing mechanical waves in refrigeration and / or household appliances |
| PCT/BR2008/000146 WO2008144864A1 (en) | 2007-05-29 | 2008-05-20 | System and method of diagnosis through detection of mechanical waves in refrigeration systems and/or household appliances |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101680693A true CN101680693A (en) | 2010-03-24 |
| CN101680693B CN101680693B (en) | 2012-06-27 |
Family
ID=39872399
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2008800181279A Expired - Fee Related CN101680693B (en) | 2007-05-29 | 2008-05-20 | System and method of diagnosis through detection of mechanical waves in refrigeration systems and/or household appliances |
Country Status (9)
| Country | Link |
|---|---|
| US (1) | US20100269522A1 (en) |
| EP (1) | EP2153141A1 (en) |
| JP (1) | JP2010532021A (en) |
| KR (1) | KR20100031696A (en) |
| CN (1) | CN101680693B (en) |
| AR (1) | AR066058A1 (en) |
| BR (1) | BRPI0702369A2 (en) |
| MX (1) | MX2009012604A (en) |
| WO (1) | WO2008144864A1 (en) |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102072139A (en) * | 2010-12-29 | 2011-05-25 | 西安陕鼓动力股份有限公司 | Method for judging low-frequency vibrating failure of compressor quickly |
| CN102243097A (en) * | 2010-05-13 | 2011-11-16 | 西安博能电力技术有限公司 | Online audio diagnosis system and method for full-closed combined electric appliance |
| CN102346169A (en) * | 2010-08-02 | 2012-02-08 | 曼尼托沃食品服务有限公司 | Analyzing an acoustic wave that has propagated through a body of water while the body of water is being frozen |
| CN102384942A (en) * | 2010-09-01 | 2012-03-21 | 曼尼托沃食品服务有限公司 | Analyzing an acoustic wave that has propagated through a body of water while the body of water is being frozen |
| CN103053135A (en) * | 2010-07-06 | 2013-04-17 | Lg电子株式会社 | Apparatus for diagnosing home appliances |
| US8738302B2 (en) | 2010-08-02 | 2014-05-27 | Manitowoc Foodservice Companies, Llc | Analyzing an acoustic wave that has propagated through a body of water while the body of water is being frozen |
| CN104931284A (en) * | 2015-05-29 | 2015-09-23 | 广东美的制冷设备有限公司 | Fault detection method and device for air conditioner, and air conditioner |
| CN105115119A (en) * | 2015-09-18 | 2015-12-02 | 珠海格力电器股份有限公司 | Fault detection method, device and equipment for air conditioning unit |
| CN105757746A (en) * | 2016-03-04 | 2016-07-13 | 珠海格力电器股份有限公司 | Control method and device for range hood |
| US9644886B2 (en) | 2010-01-15 | 2017-05-09 | Lg Electronics Inc. | Refrigerator and diagnostic system for the same |
| CN107817403A (en) * | 2017-10-31 | 2018-03-20 | 惠州鼎宝金属制品有限公司 | A kind of fault detection system for oven |
| US9979560B2 (en) | 2011-08-18 | 2018-05-22 | Lg Electronics Inc. | Diagnostic apparatus and method for home appliance |
| US10480843B2 (en) | 2018-01-19 | 2019-11-19 | Manitowoc Foodservice Companies, Llc | Ice-making machine that utilizes closed-loop harvest control with vibrational feedback |
| CN110986267A (en) * | 2019-11-01 | 2020-04-10 | 青岛海尔空调器有限总公司 | Detection method and device for abnormal sound of air conditioner and air conditioner |
Families Citing this family (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7412842B2 (en) | 2004-04-27 | 2008-08-19 | Emerson Climate Technologies, Inc. | Compressor diagnostic and protection system |
| US7275377B2 (en) | 2004-08-11 | 2007-10-02 | Lawrence Kates | Method and apparatus for monitoring refrigerant-cycle systems |
| US20090037142A1 (en) | 2007-07-30 | 2009-02-05 | Lawrence Kates | Portable method and apparatus for monitoring refrigerant-cycle systems |
| US9140728B2 (en) | 2007-11-02 | 2015-09-22 | Emerson Climate Technologies, Inc. | Compressor sensor module |
| US9054953B2 (en) | 2008-06-16 | 2015-06-09 | Lg Electronics Inc. | Home appliance and home appliance system |
| AU2010269313B2 (en) | 2009-07-06 | 2015-01-22 | Lg Electronics Inc. | Home appliance diagnosis system, and method for operating same |
| KR20110010374A (en) | 2009-07-24 | 2011-02-01 | 엘지전자 주식회사 | Diagnostic system and method for home appliance |
| EP2673580A4 (en) * | 2011-02-09 | 2017-04-26 | Control Products, Inc. | System, apparatus, and method for ice detection |
| US9285802B2 (en) | 2011-02-28 | 2016-03-15 | Emerson Electric Co. | Residential solutions HVAC monitoring and diagnosis |
| CN102797671A (en) * | 2011-05-25 | 2012-11-28 | 中国石油大学(北京) | Fault detection method and device of reciprocating compressor |
| KR101416937B1 (en) | 2011-08-02 | 2014-08-06 | 엘지전자 주식회사 | home appliance, home appliance diagnostic system, and method |
| US8964338B2 (en) | 2012-01-11 | 2015-02-24 | Emerson Climate Technologies, Inc. | System and method for compressor motor protection |
| WO2013153541A1 (en) * | 2012-04-13 | 2013-10-17 | Huebbert Laila | Method and system for predicting cardiovascular events |
| KR101942781B1 (en) | 2012-07-03 | 2019-01-28 | 엘지전자 주식회사 | Home appliance and method of outputting audible signal for diagnosis |
| KR20140007178A (en) | 2012-07-09 | 2014-01-17 | 엘지전자 주식회사 | Diagnostic system for home appliance |
| US9310439B2 (en) | 2012-09-25 | 2016-04-12 | Emerson Climate Technologies, Inc. | Compressor having a control and diagnostic module |
| DE102012223237A1 (en) | 2012-12-14 | 2014-06-18 | BSH Bosch und Siemens Hausgeräte GmbH | Analysis of a noise of a household appliance |
| US11350237B2 (en) * | 2012-12-21 | 2022-05-31 | Sfara, Inc. | System and method for determining smartphone location |
| US9803902B2 (en) | 2013-03-15 | 2017-10-31 | Emerson Climate Technologies, Inc. | System for refrigerant charge verification using two condenser coil temperatures |
| US9638436B2 (en) | 2013-03-15 | 2017-05-02 | Emerson Electric Co. | HVAC system remote monitoring and diagnosis |
| US9551504B2 (en) | 2013-03-15 | 2017-01-24 | Emerson Electric Co. | HVAC system remote monitoring and diagnosis |
| CA2908362C (en) | 2013-04-05 | 2018-01-16 | Fadi M. Alsaleem | Heat-pump system with refrigerant charge diagnostics |
| DE102016112591B4 (en) * | 2016-07-08 | 2022-07-21 | Airbus Ds Optronics Gmbh | Method and measuring system for determining and/or monitoring a degree of wear of a cooling device operated with at least one piston |
| CN106408215A (en) * | 2016-10-28 | 2017-02-15 | 宁波天派智能科技有限公司 | Substation equipment running condition detection method and device |
| DE102017122126A1 (en) * | 2017-09-25 | 2019-03-28 | Vaillant Gmbh | Leakage detection |
| US10908304B2 (en) * | 2019-05-15 | 2021-02-02 | Honeywell International Inc. | Passive smart sensor detection system |
| DE102022130713A1 (en) | 2022-11-21 | 2024-05-23 | Vaillant Gmbh | Acoustic leak detection in the heat pump housing |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0331667A (en) * | 1989-06-28 | 1991-02-12 | Mitsubishi Electric Corp | Operation state monitoring device for freezer air conditioner |
| US5174125A (en) * | 1991-07-24 | 1992-12-29 | Donald Duncan | Device for detecting loss of refrigerant in an airconditioner |
| US5614676A (en) * | 1996-03-08 | 1997-03-25 | The Goodyear Tire & Rubber Company | Method of machine vibration analysis for tire uniformity machine |
| US5917428A (en) * | 1996-11-07 | 1999-06-29 | Reliance Electric Industrial Company | Integrated motor and diagnostic apparatus and method of operating same |
| US7539549B1 (en) * | 1999-09-28 | 2009-05-26 | Rockwell Automation Technologies, Inc. | Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis |
| US7308322B1 (en) * | 1998-09-29 | 2007-12-11 | Rockwell Automation Technologies, Inc. | Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis |
| US6060987A (en) * | 1999-05-06 | 2000-05-09 | Marlia; Kim | Retrofittable device to warn of refrigerator door-ajar condition |
| US6550260B1 (en) * | 2001-09-28 | 2003-04-22 | Carrier Corporation | Vibration detection in a transport refrigeration system through current sensing |
| US6839660B2 (en) * | 2002-04-22 | 2005-01-04 | Csi Technology, Inc. | On-line rotating equipment monitoring device |
| WO2004083744A1 (en) * | 2003-03-17 | 2004-09-30 | Matsushita Electric Industrial Co. Ltd. | Air conditioner |
| US6938425B2 (en) * | 2003-08-11 | 2005-09-06 | Siemens Westinghouse Power Corporation | System and method for controlling water injection in a turbine engine |
| JP4265982B2 (en) * | 2004-02-25 | 2009-05-20 | 三菱電機株式会社 | Equipment diagnostic equipment, refrigeration cycle equipment, refrigeration cycle monitoring system |
| EP1744248A1 (en) * | 2005-07-11 | 2007-01-17 | WRAP S.p.A. | Device for monitoring an electric appliance |
-
2007
- 2007-05-29 BR BRPI0702369-3A patent/BRPI0702369A2/en not_active IP Right Cessation
-
2008
- 2008-04-14 AR ARP080101535A patent/AR066058A1/en not_active Application Discontinuation
- 2008-05-20 EP EP08748071A patent/EP2153141A1/en not_active Ceased
- 2008-05-20 JP JP2010509635A patent/JP2010532021A/en active Pending
- 2008-05-20 CN CN2008800181279A patent/CN101680693B/en not_active Expired - Fee Related
- 2008-05-20 KR KR1020097027081A patent/KR20100031696A/en not_active Application Discontinuation
- 2008-05-20 WO PCT/BR2008/000146 patent/WO2008144864A1/en active Application Filing
- 2008-05-20 MX MX2009012604A patent/MX2009012604A/en unknown
- 2008-05-20 US US12/601,694 patent/US20100269522A1/en not_active Abandoned
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9644886B2 (en) | 2010-01-15 | 2017-05-09 | Lg Electronics Inc. | Refrigerator and diagnostic system for the same |
| CN102243097A (en) * | 2010-05-13 | 2011-11-16 | 西安博能电力技术有限公司 | Online audio diagnosis system and method for full-closed combined electric appliance |
| CN103053135A (en) * | 2010-07-06 | 2013-04-17 | Lg电子株式会社 | Apparatus for diagnosing home appliances |
| US10325269B2 (en) | 2010-07-06 | 2019-06-18 | Lg Electronics Inc. | Home appliance diagnosis system and diagnosis method for same |
| CN102346169A (en) * | 2010-08-02 | 2012-02-08 | 曼尼托沃食品服务有限公司 | Analyzing an acoustic wave that has propagated through a body of water while the body of water is being frozen |
| US8738302B2 (en) | 2010-08-02 | 2014-05-27 | Manitowoc Foodservice Companies, Llc | Analyzing an acoustic wave that has propagated through a body of water while the body of water is being frozen |
| CN102346169B (en) * | 2010-08-02 | 2015-01-07 | 曼尼托沃食品服务有限公司 | Analyzing an acoustic wave that has propagated through a body of water while the body of water is being frozen |
| CN102384942A (en) * | 2010-09-01 | 2012-03-21 | 曼尼托沃食品服务有限公司 | Analyzing an acoustic wave that has propagated through a body of water while the body of water is being frozen |
| CN102384942B (en) * | 2010-09-01 | 2014-11-26 | 曼尼托沃食品服务有限公司 | Analyzing an acoustic wave that has propagated through a body of water while the body of water is being frozen |
| CN102072139B (en) * | 2010-12-29 | 2013-10-23 | 西安陕鼓动力股份有限公司 | Method for judging low-frequency vibrating failure of compressor quickly |
| CN102072139A (en) * | 2010-12-29 | 2011-05-25 | 西安陕鼓动力股份有限公司 | Method for judging low-frequency vibrating failure of compressor quickly |
| US9979560B2 (en) | 2011-08-18 | 2018-05-22 | Lg Electronics Inc. | Diagnostic apparatus and method for home appliance |
| CN104931284B (en) * | 2015-05-29 | 2018-03-27 | 广东美的制冷设备有限公司 | Fault detection method, device and the air conditioner of air conditioner |
| CN104931284A (en) * | 2015-05-29 | 2015-09-23 | 广东美的制冷设备有限公司 | Fault detection method and device for air conditioner, and air conditioner |
| CN105115119A (en) * | 2015-09-18 | 2015-12-02 | 珠海格力电器股份有限公司 | Fault detection method, device and equipment for air conditioning unit |
| CN105757746A (en) * | 2016-03-04 | 2016-07-13 | 珠海格力电器股份有限公司 | Control method and device for range hood |
| CN105757746B (en) * | 2016-03-04 | 2018-09-18 | 珠海格力电器股份有限公司 | The control method and device of smoke exhaust ventilator |
| CN107817403A (en) * | 2017-10-31 | 2018-03-20 | 惠州鼎宝金属制品有限公司 | A kind of fault detection system for oven |
| US10480843B2 (en) | 2018-01-19 | 2019-11-19 | Manitowoc Foodservice Companies, Llc | Ice-making machine that utilizes closed-loop harvest control with vibrational feedback |
| CN110986267A (en) * | 2019-11-01 | 2020-04-10 | 青岛海尔空调器有限总公司 | Detection method and device for abnormal sound of air conditioner and air conditioner |
Also Published As
| Publication number | Publication date |
|---|---|
| BRPI0702369A2 (en) | 2009-01-20 |
| EP2153141A1 (en) | 2010-02-17 |
| AR066058A1 (en) | 2009-07-22 |
| JP2010532021A (en) | 2010-09-30 |
| MX2009012604A (en) | 2009-12-11 |
| CN101680693B (en) | 2012-06-27 |
| KR20100031696A (en) | 2010-03-24 |
| US20100269522A1 (en) | 2010-10-28 |
| WO2008144864A1 (en) | 2008-12-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101680693B (en) | System and method of diagnosis through detection of mechanical waves in refrigeration systems and/or household appliances | |
| US10983097B2 (en) | Automatic mechanical systems diagnosis | |
| CN109323365B (en) | Method and apparatus for diagnosing blocking fault of air conditioner, air conditioner and storage medium | |
| CN108954668B (en) | Monitoring method, monitoring device and monitoring system for noise fault of outdoor unit | |
| JP6291161B2 (en) | Detection of rotor abnormality | |
| US6279332B1 (en) | Performance testing method of air conditioner | |
| CN111126632B (en) | Household appliance fault prediction method, prediction device, refrigerator and storage medium | |
| JP5468041B2 (en) | Plant equipment maintenance management system | |
| CN104931284A (en) | Fault detection method and device for air conditioner, and air conditioner | |
| CN109477464A (en) | The condition monitoring of mechanical equipment, especially wind turbine | |
| CN110906508B (en) | Fault detection method and system for air conditioner sensor | |
| CN111272454B (en) | Abnormality diagnosis device and abnormality diagnosis method | |
| CN114004306A (en) | Equipment fault evaluation system and method based on multi-dimensional data of Internet of things | |
| CN111412134A (en) | Detection system, detection method and compressor | |
| CN111917606B (en) | Method and device for processing fault information, storage medium and electronic equipment | |
| CN105181357B (en) | The detection method and device of vehicle air conditioner | |
| CN106288182B (en) | A kind of compressor monitoring method, device and air-conditioning | |
| CN113513830A (en) | Method and device for adjusting working parameters | |
| JP3979232B2 (en) | Failure diagnosis apparatus and failure diagnosis method | |
| Chu et al. | An effective method for monitoring the vibration data of bearings to diagnose and minimize defects | |
| Minemura et al. | Acoustic feature representation based on timbre for fault detection of rotary machines | |
| CN113266569B (en) | Noise-based fault detection method and system for compressor | |
| JP4209793B2 (en) | Abnormality diagnosis method based on acoustic signal and program used for executing the method | |
| US11451925B2 (en) | Multi-axis temporal motion acceleration detection for device performance monitoring | |
| CN108335462A (en) | A kind of fault early warning method and kitchen appliance |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20190416 Address after: Brazil Joinville Patentee after: Enbraco Compressor Industry and Refrigeration Solutions Co., Ltd. Address before: Sao Paulo Patentee before: Brasil Compressores SA |
|
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120627 Termination date: 20210520 |