CN112747946B - Equipment structure damage detection method and device - Google Patents
Equipment structure damage detection method and device Download PDFInfo
- Publication number
- CN112747946B CN112747946B CN202011560392.9A CN202011560392A CN112747946B CN 112747946 B CN112747946 B CN 112747946B CN 202011560392 A CN202011560392 A CN 202011560392A CN 112747946 B CN112747946 B CN 112747946B
- Authority
- CN
- China
- Prior art keywords
- order
- equipment
- detected
- change rate
- natural frequency
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
Abstract
The invention discloses a method and a device for detecting the damage of an equipment structure. The damage condition of the equipment is automatically identified according to the natural frequency change rate obtained by the multi-order vibration frequency and the initial multi-order vibration frequency, the detection of the structural damage of the equipment can be realized under the condition that a circuit is not additionally arranged, and compared with the existing manual detection, the detection efficiency can be improved, and the labor cost is saved.
Description
Technical Field
The invention relates to the technical field of terminals, in particular to a method and a device for detecting structural damage of equipment.
Background
In the current society, with the popularization and use of smart phones, the mobile phones are inevitably dropped in the process of using the smart phones in daily life, and the damage to the mobile phones is caused. The damage of the mobile phone screen and the shell is visible and easy to detect, but cracks in the mobile phone main board are difficult to observe and easily cause the fault of partial functions of the mobile phone, even cause the mobile phone to be incapable of being started normally. When the panel is returned to a factory for maintenance, engineers often find relevant functional fault modules for maintenance, and the panel faults are difficult to associate, and the faults are difficult to detect through visual inspection and X-ray, so that the maintenance cost is increased.
At present, for the detection of mobile phone faults, whether the faults are caused by the mechanical structure faults of a main board or the electrical structure faults is difficult to determine. When the mobile phone is returned to the factory for maintenance, the mobile phone is mostly checked one by using tools such as a universal meter, an oscilloscope and the like from the aspects of materials and welding, and time and labor are wasted.
Disclosure of Invention
The embodiment of the invention provides a method and a device for detecting structural damage of equipment, which are used for improving the efficiency of structural damage detection, reducing the direction of fault removal and reducing the labor cost.
In a first aspect, an embodiment of the present invention provides an apparatus structural damage detection method, including:
acquiring multi-order vibration frequency of the equipment to be detected;
determining the natural frequency change rate of the equipment to be detected according to the multi-order vibration frequency and the initial multi-order vibration frequency of the equipment to be detected;
and determining the damage condition of the equipment to be detected according to the natural frequency change rate of the equipment to be detected and a preset threshold value.
Among the above-mentioned technical scheme, through the damage condition of the natural frequency rate of change that obtains according to multistage vibration frequency and the initial multistage vibration frequency automatic identification equipment, can realize the detection of the structural damage of equipment under the condition of not addding the circuit, compare current artifical the detection, can improve detection efficiency, the cost of using manpower sparingly.
Optionally, the obtaining the multi-order vibration frequency of the device to be detected includes:
collecting vibration signals of the linear motor of the equipment to be detected within a preset time of rotation;
and analyzing the vibration information by using a modal identification algorithm to obtain the multi-order vibration frequency.
Optionally, determining the natural frequency change rate of the device to be detected according to the multi-order vibration frequencies and the multi-order initial vibration frequencies of the device to be detected includes:
determining a ratio of an absolute value of a difference between the vibration frequency of the first order and the initial vibration frequency to the initial vibration frequency as a natural frequency change rate of the first order;
and determining the natural frequency change rate of the equipment to be detected according to the multi-order natural frequency change rate.
Optionally, the determining, as the natural frequency change rate of the first order, a ratio of an absolute value of a difference between the vibration frequency of the first order and the initial vibration frequency to the initial vibration frequency for the vibration frequency of the first order and the initial vibration frequency includes:
the vibration frequency of the first order, the initial vibration frequency of the first order, and the natural frequency change rate of the first order satisfy the following relationship:
wherein δ is a natural frequency rate of change, FX is a vibration frequency of the first order, and F is an initial vibration frequency of the first order.
Optionally, the determining the natural frequency change rate of the device to be detected according to the multi-order natural frequency change rate includes:
and determining the natural frequency change rate with the maximum value of the multi-order natural frequency change rates as the natural frequency change rate of the equipment to be detected.
Optionally, the determining the damage condition of the device to be detected according to the natural frequency change rate of the device to be detected and a set threshold includes:
if the natural frequency change rate of the equipment to be detected is larger than the preset threshold value, determining that the damage condition of the equipment to be detected is structural damage;
and if the natural frequency change rate of the equipment to be detected is smaller than or equal to the preset threshold value, determining that the damage condition of the equipment to be detected is electrical damage.
Optionally, the preset threshold is 1%.
In a second aspect, an embodiment of the present invention provides an apparatus for detecting structural damage of a device, including:
the acquiring unit is used for acquiring the multi-order vibration frequency of the equipment to be detected;
the processing unit is used for determining the natural frequency change rate of the equipment to be detected according to the multi-order vibration frequency and the initial multi-order vibration frequency of the mobile phone to be detected; and determining the damage condition of the equipment to be detected according to the natural frequency change rate of the equipment to be detected and a preset threshold value.
Optionally, the obtaining unit is specifically configured to:
collecting vibration signals of the linear motor of the equipment to be detected within a preset time of rotation;
and analyzing the vibration information by using a modal identification algorithm to obtain the multi-order vibration frequency.
Optionally, the processing unit is specifically configured to:
determining the ratio of the absolute value of the difference between the vibration frequency and the initial vibration frequency of a first order to the initial vibration frequency as the natural frequency change rate of the first order;
and determining the natural frequency change rate of the equipment to be detected according to the multi-order natural frequency change rate.
Optionally, the processing unit is specifically configured to:
the vibration frequency of the first order, the initial vibration frequency of the first order, and the natural frequency change rate of the first order satisfy the following relationship:
wherein δ is a natural frequency change rate, FX is a vibration frequency of the first order, and F is an initial vibration frequency of the first order.
Optionally, the processing unit is specifically configured to:
and determining the natural frequency change rate with the maximum value of the multi-order natural frequency change rates as the natural frequency change rate of the equipment to be detected.
Optionally, the processing unit is specifically configured to:
if the natural frequency change rate of the equipment to be detected is larger than the preset threshold value, determining that the damage condition of the equipment to be detected is structural damage;
and if the natural frequency change rate of the equipment to be detected is smaller than or equal to the preset threshold value, determining that the damage condition of the equipment to be detected is electrical damage.
Optionally, the preset threshold is 1%.
In a third aspect, an embodiment of the present invention further provides a computing device, including:
a memory for storing program instructions;
and the processor is used for calling the program instructions stored in the memory and executing the device structure damage detection method according to the obtained program.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable non-volatile storage medium, which includes computer-readable instructions, and when the computer reads and executes the computer-readable instructions, the computer is caused to execute the above-mentioned device structure damage detection method.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a system architecture according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for detecting damage to an equipment structure according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus structural damage detection apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a system architecture provided in an embodiment of the present invention. As shown in fig. 1, the system architecture may be a server 100, and the server 100 may include a processor 110, a communication interface 120, and a memory 130.
The communication interface 120 is used for communicating with a terminal device, and transceiving information transmitted by the terminal device to implement communication.
The processor 110 is a control center of the server 100, connects various parts of the entire server 100 using various interfaces and lines, performs various functions of the server 100 and processes data by running or executing software programs and/or modules stored in the memory 130 and calling data stored in the memory 130. Alternatively, processor 110 may include one or more processing units.
The memory 130 may be used to store software programs and modules, and the processor 110 executes various functional applications and data processing by operating the software programs and modules stored in the memory 130. The memory 130 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to a business process, etc. Further, the memory 130 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
It should be noted that the structure shown in fig. 1 is only an example, and the embodiment of the present invention is not limited thereto.
Based on the above description, fig. 2 shows a flow of the device structure damage detection method provided in the embodiment of the present invention in detail, where the flow may be executed by the device structure damage detection apparatus.
As shown in fig. 2, the process specifically includes:
In the embodiment of the invention, when the multi-order vibration frequency is obtained, the multi-order vibration frequency can be obtained by acquiring the vibration signal of the linear motor of the equipment to be detected within the preset rotation time and then analyzing the vibration information by using a modal identification algorithm. The preset time may be set empirically.
Specifically, the linear motor can be controlled by the processor to generate vibration for 20 seconds, the acceleration sensor is controlled to acquire a vibration signal of the device to be detected, then the acceleration sensor feeds the acquired vibration signal back to the processor, and the processor can identify the vibration signal by using a mode identification algorithm to obtain multi-order vibration frequency, wherein the multi-order vibration frequency is multi-order vibration natural frequency which can be front N-order vibration natural frequency, such as front 5-order vibration natural frequencies F1, F2, F3, F4 and F5.
And 202, determining the natural frequency change rate of the equipment to be detected according to the multi-order vibration frequency and the initial multi-order vibration frequency of the equipment to be detected.
In the embodiment of the present invention, the initial multi-step vibration frequency is a multi-step vibration frequency acquired by the device to be detected before shipping, and the determining method may be a process shown in step 201. After the initial multi-step vibration frequency is obtained, the initial multi-step vibration frequency can be solidified into a processor for use in detection.
The specific steps for determining the natural frequency change rate are as follows: and determining the ratio of the absolute value of the difference between the vibration frequency of the first order and the initial vibration frequency to the initial vibration frequency as the natural frequency change rate of the first order aiming at the vibration frequency of the first order and the initial vibration frequency. And then determining the natural frequency change rate of the equipment to be detected according to the multi-order natural frequency change rate. Specifically, the natural frequency change rate with the largest median value of the multi-order natural frequency change rates is determined as the natural frequency change rate of the device to be detected.
Wherein, the first-order vibration frequency, the first-order initial vibration frequency and the first-order natural frequency change rate satisfy the following relations:
where δ is the natural frequency rate of change, FX is the first order vibration frequency, and F is the first order initial vibration frequency.
For example, if there is a vibration frequency of 5 orders, the ratio of the absolute value of the difference between the vibration frequency of 1 st order and the initial vibration frequency of 1 st order to the initial vibration frequency of 1 st order is determined as the natural frequency change rate of 1 st order, and so on, the respective natural frequency change rates of 5 orders can be obtained. And then selecting the natural frequency change rate with the largest value from the 5-order natural frequency change rates as the natural frequency change rate of the equipment to be detected.
Specifically, if the natural frequency change rate of the equipment to be detected is greater than a preset threshold value, the damage condition of the equipment to be detected is determined to be structural damage. And if the natural frequency change rate of the equipment to be detected is less than or equal to a preset threshold value, determining the damage condition of the equipment to be detected as electrical damage. The preset threshold may be set empirically, for example, may be set to 1%.
In order to better explain the embodiment of the present invention, the following describes the process of detecting the structural damage of the above device in a specific implementation scenario.
Taking a mobile phone as an example, the method specifically comprises the following steps:
step 1, firstly, evaluating the mobile phone before leaving a factory to obtain the first 5-order initial vibration natural frequency of the whole mobile phone.
The method is specifically characterized in that a linear motor is controlled by a CPU to generate vibration for 20 seconds, and an acceleration sensor is controlled to acquire a vibration signal of the mobile phone; secondly, the acceleration sensor feeds back the acquired vibration signal of the mobile phone to the CPU; then, the CPU obtains the first 5-order initial vibration natural frequencies F1, F2, F3, F4 and F5 of the mobile phone by using the mobile phone vibration signal and a mode identification algorithm.
Step 2, when the mobile phone is in fault, detecting whether the mobile phone is structurally damaged, wherein the specific operation is as follows:
1. controlling a linear motor to generate vibration for 20 seconds through a mobile phone CPU, and simultaneously controlling an acceleration sensor to acquire a vibration signal of the mobile phone; secondly, the acceleration sensor feeds back the acquired vibration signal of the mobile phone to the CPU; and solving the current first 5-order vibration natural frequencies of the mobile phone by using a modal identification algorithm, wherein the frequencies are FX1, FX2, FX3, FX4 and FX5 respectively.
3. And solving the current natural frequency of the first 5-order vibration, and obtaining the maximum natural frequency change rate.
The process of step 1 is utilized to solve that the first 5-order initial vibration natural frequencies of the mobile phone to be detected are F1, F2, F3, F4 and F5, and the specific operation of solving the maximum change rate of the mobile phone is as follows:
the first order natural frequency rate of change is:
the second order natural frequency rate of change is:
the third order natural frequency rate of change is: />
The fourth order natural frequency change rate is: />
The fifth order natural frequency change rate is: />
Comparing the obtained natural frequency change rates to obtain the maximum natural frequency change rate delta MAX 。
3. And setting a threshold value, and judging whether the structure of the mobile phone is damaged or not.
The specific operation is as follows: considering the influence of the operating temperature of the mobile phone and other factors on the natural frequency of the mobile phone, the allowable threshold value of the natural frequency change rate is set to be 1%, and when the maximum change rate delta of the natural frequency is equal to MAX If the threshold value is exceeded, the structure of the mobile phone is considered to be damaged, otherwise, the mobile phone is considered to be in an electrical or other fault state.
In the embodiment of the invention, the multi-order vibration frequency of the equipment to be detected is obtained, the natural frequency change rate of the equipment to be detected is determined according to the multi-order vibration frequency and the initial multi-order vibration frequency of the equipment to be detected, and the damage condition of the equipment to be detected is determined according to the natural frequency change rate and the threshold value of the equipment to be detected. The damage condition of the equipment is automatically identified according to the natural frequency change rate obtained by the multi-order vibration frequency and the initial multi-order vibration frequency, the structural damage of the equipment can be detected under the condition that a circuit is not additionally arranged, and compared with the existing manual detection, the detection efficiency can be improved, and the labor cost is saved.
Based on the same technical concept, fig. 3 exemplarily shows a structure of an apparatus for detecting device structural damage provided by an embodiment of the present invention, and the apparatus can execute a process for detecting device structural damage.
As shown in fig. 3, the apparatus specifically includes:
an obtaining unit 301, configured to obtain multi-order vibration frequencies of a device to be detected;
the processing unit 302 is configured to determine a natural frequency change rate of the device to be detected according to the multi-order vibration frequency and the initial multi-order vibration frequency of the mobile phone to be detected; and determining the damage condition of the equipment to be detected according to the natural frequency change rate of the equipment to be detected and a preset threshold value.
Optionally, the obtaining unit 301 is specifically configured to:
collecting a vibration signal of the linear motor of the equipment to be detected within a preset rotating time;
and analyzing the vibration information by using a modal identification algorithm to obtain the multi-order vibration frequency.
Optionally, the processing unit 302 is specifically configured to:
determining the ratio of the absolute value of the difference between the vibration frequency and the initial vibration frequency of a first order to the initial vibration frequency as the natural frequency change rate of the first order;
and determining the natural frequency change rate of the equipment to be detected according to the multi-order natural frequency change rate.
Optionally, the processing unit is specifically configured to:
the natural frequency rate of change conforms to equation (1);
the formula (1) is:
where δ is the natural frequency rate of change, FX is the vibration frequency, and F is the initial vibration frequency.
Optionally, the processing unit 302 is specifically configured to:
and determining the natural frequency change rate with the maximum median of the multi-order natural frequency change rates as the natural frequency change rate of the equipment to be detected.
Optionally, the processing unit 302 is specifically configured to:
if the natural frequency change rate of the equipment to be detected is larger than the preset threshold value, determining that the damage condition of the equipment to be detected is structural damage;
and if the natural frequency change rate of the equipment to be detected is smaller than or equal to the preset threshold value, determining that the damage condition of the equipment to be detected is electrical damage.
Based on the same technical concept, an embodiment of the present invention further provides a computing device, including:
a memory for storing program instructions;
and the processor is used for calling the program instructions stored in the memory and executing the device structure damage detection method according to the obtained program.
Based on the same technical concept, an embodiment of the present invention further provides a computer-readable non-volatile storage medium, which includes computer-readable instructions, and when the computer reads and executes the computer-readable instructions, the computer is enabled to execute the device structure damage detection method.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (7)
1. A device structure damage detection method is applied to a mobile phone damage detection scene and comprises the following steps:
acquiring multi-order vibration frequency of the equipment to be detected; obtain the multistage vibration frequency of equipment under test, include: controlling a linear motor of the equipment to be detected to generate vibration within a preset time through a CPU of the equipment to be detected, and controlling an acceleration sensor of the equipment to be detected to acquire a vibration signal of the equipment to be detected within the preset time; analyzing the vibration signal by using a modal identification algorithm to obtain the multi-order vibration frequency;
determining the natural frequency change rate of the equipment to be detected according to the multi-order vibration frequency and the initial multi-order vibration frequency of the equipment to be detected;
determining the damage condition of the equipment to be detected according to the natural frequency change rate of the equipment to be detected and a preset threshold value;
the determining the natural frequency change rate of the equipment to be detected according to the multi-order vibration frequency and the multi-order initial vibration frequency of the equipment to be detected comprises the following steps:
determining the ratio of the absolute value of the difference value between the vibration frequency of the first order and the initial vibration frequency to the initial vibration frequency as the natural frequency change rate of the first order, and repeating the steps to obtain the multi-order natural frequency change rate; determining the natural frequency change rate of the equipment to be detected according to the multi-order natural frequency change rate;
the determining the natural frequency change rate of the equipment to be detected according to the multi-order natural frequency change rate comprises the following steps:
and determining the natural frequency change rate with the maximum value of the multi-order natural frequency change rates as the natural frequency change rate of the equipment to be detected.
2. The method of claim 1, wherein determining a ratio of an absolute value of a difference of the vibration frequency of the first order from an initial vibration frequency to the initial vibration frequency as a natural frequency change rate of the first order for the vibration frequency of the first order and the initial vibration frequency comprises:
the vibration frequency of the first order, the initial vibration frequency of the first order, and the natural frequency change rate of the first order satisfy the following relationship:
wherein δ is a natural frequency change rate, FX is a vibration frequency of the first order, and F is an initial vibration frequency of the first order.
3. The method according to any one of claims 1 to 2, wherein the determining the damage condition of the device to be detected according to the natural frequency change rate of the device to be detected and a set threshold value comprises:
if the natural frequency change rate of the equipment to be detected is larger than the preset threshold value, determining that the damage condition of the equipment to be detected is structural damage;
and if the natural frequency change rate of the equipment to be detected is smaller than or equal to the preset threshold value, determining that the damage condition of the equipment to be detected is electrical damage.
4. The method of claim 3, wherein the predetermined threshold is 1%.
5. An apparatus structural damage detection device, characterized by comprising means for performing the method of any of the preceding claims 1 to 4.
6. A computing device, comprising:
a memory for storing program instructions;
a processor for calling program instructions stored in said memory to execute the method of any one of claims 1 to 4 in accordance with the obtained program.
7. A computer-readable non-transitory storage medium including computer-readable instructions which, when read and executed by a computer, cause the computer to perform the method of any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011560392.9A CN112747946B (en) | 2020-12-25 | 2020-12-25 | Equipment structure damage detection method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011560392.9A CN112747946B (en) | 2020-12-25 | 2020-12-25 | Equipment structure damage detection method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112747946A CN112747946A (en) | 2021-05-04 |
| CN112747946B true CN112747946B (en) | 2023-04-14 |
Family
ID=75647637
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011560392.9A Active CN112747946B (en) | 2020-12-25 | 2020-12-25 | Equipment structure damage detection method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112747946B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114897034B (en) * | 2022-07-14 | 2022-10-28 | 深圳市信润富联数字科技有限公司 | Stamping die supervision method, device, equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006226716A (en) * | 2005-02-15 | 2006-08-31 | Jfe R & D Corp | Damage detection method and system of structure |
| CN105064420A (en) * | 2015-08-06 | 2015-11-18 | 交通运输部天津水运工程科学研究所 | High-pile wharf foundation pile damage diagnosis method based on structural residual modal force |
| JP2018145866A (en) * | 2017-03-06 | 2018-09-20 | 三菱重工業株式会社 | Blade vibration monitoring device and rotary machine system |
| CN111323488A (en) * | 2020-04-15 | 2020-06-23 | 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) | Damage detection method, device, equipment and medium for large metal roof panel |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10665250B2 (en) * | 2018-09-28 | 2020-05-26 | Apple Inc. | Real-time feedback during audio recording, and related devices and systems |
-
2020
- 2020-12-25 CN CN202011560392.9A patent/CN112747946B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006226716A (en) * | 2005-02-15 | 2006-08-31 | Jfe R & D Corp | Damage detection method and system of structure |
| CN105064420A (en) * | 2015-08-06 | 2015-11-18 | 交通运输部天津水运工程科学研究所 | High-pile wharf foundation pile damage diagnosis method based on structural residual modal force |
| JP2018145866A (en) * | 2017-03-06 | 2018-09-20 | 三菱重工業株式会社 | Blade vibration monitoring device and rotary machine system |
| CN111323488A (en) * | 2020-04-15 | 2020-06-23 | 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) | Damage detection method, device, equipment and medium for large metal roof panel |
Non-Patent Citations (1)
| Title |
|---|
| 含预应力服务器机箱结构动态数值模拟分析;龚宝龙;《现代制造工程》;20170331(第03期);第105页第1栏第3.2节 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112747946A (en) | 2021-05-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111693089A (en) | Product quality control method, device, equipment and storage medium for assembly line | |
| CN110572764A (en) | Remote fault diagnosis method and device for vehicle-mounted audio equipment | |
| CN111708584A (en) | Vehicle diagnosis method and device, diagnosis equipment and storage medium | |
| CN112747946B (en) | Equipment structure damage detection method and device | |
| CN111353143A (en) | Sensitive authority detection method and device and storage medium | |
| CN110134611B (en) | Memory leak analysis method, device, terminal and storage medium | |
| CN104199759A (en) | Application program identification method and device causing terminal temperature rise and terminal | |
| CN110267215B (en) | Data detection method, equipment and storage medium | |
| CN111693294A (en) | Vehicle detection method and device, terminal equipment and storage medium | |
| CN112634973A (en) | Data rereading method and system of storage medium, terminal device and storage medium | |
| CN108763053B (en) | Method for generating buried point name and terminal equipment | |
| CN111352791A (en) | System application detection method and device, terminal equipment and storage medium | |
| CN116303069A (en) | Test method, device, upper computer, system and medium of vehicle-mounted terminal | |
| CN109542726B (en) | Power consumption detection method and device | |
| CN115878358A (en) | Abnormal log analysis method and device, electronic equipment and storage medium | |
| CN104579825A (en) | Method and device for monitoring server of application in real time and computer equipment | |
| CN115643231A (en) | Method and device for detecting vehicle-mounted terminal equipment, electronic equipment and storage medium | |
| CN110634124A (en) | Method and equipment for area detection | |
| CN114034972A (en) | Intelligent cable fault determination method and device based on image data | |
| CN111427620A (en) | Starting method and device of embedded system | |
| CN112099759A (en) | Numerical value processing method, device, processing equipment and computer readable storage medium | |
| CN113872954B (en) | Method for detecting data flow | |
| KR20160134994A (en) | Interrupt processing method in modular plc system | |
| CN115357458B (en) | Method and device for testing TISDM display information | |
| CN113722355A (en) | Test method and device for service data processing, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |