CN-121978435-A - FPC connector service life prediction method

CN121978435ACN 121978435 ACN121978435 ACN 121978435ACN-121978435-A

Abstract

The application relates to an electronic connector reliability prediction technology, in particular to a Flexible Printed Circuit (FPC) connector service life prediction method, which aims to solve the problem that a laboratory accelerated aging test method commonly adopted in the current industry, such as temperature and humidity cycle and mechanical plug cycle experiments, are usually carried out under a highly controlled single stress condition, and complex multi-physical field coupling effects in a real use environment, such as dynamic interaction of random vibration, temperature shock and humidity fluctuation, cannot be reproduced. According to the application, the mechanical response signal and the electrical response signal are obtained, and the service life is predicted by utilizing the pre-constructed coupling correlation model, so that the problem of low prediction precision caused by dependence on a single physical quantity in the prior art is solved, and the method has the advantages of improving the prediction precision and reliability.

Inventors

CHEN GUANGLIN
CHEN PENG
DENG LIJUN
Shao Mengen
LI DILONG

Assignees

温州圣彼得电子科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260121

Claims (10)

1. A method for predicting the life of an FPC connector, comprising: Acquiring a mechanical response signal and an electrical response signal generated in the operation process of the target FPC connector; And determining a life prediction result of the target FPC connector by utilizing a pre-constructed coupling correlation model based on the mechanical response signal and the electrical response signal, wherein the coupling correlation model characterizes the correlation between the characteristic change of the mechanical response signal and the characteristic change of the electrical response signal.
2. The method of claim 1, wherein the mechanical response signal is a microstrain signal, and wherein the obtaining the mechanical response signal generated by the subject FPC connector during operation comprises: And acquiring a micro-strain signal of the FPC connector under the plug or vibration working condition through a micro-strain sensor arranged at the joint of the flexible substrate and the metal terminal of the FPC connector.
3. The method of claim 1, wherein the electrical response signal is an impedance spectrum signal, and wherein the obtaining the electrical response signal generated by the subject FPC connector during operation comprises: an alternating current excitation signal is applied to the contact interface through a signal electrode connected to the contact interface of the FPC connector, and an impedance spectrum signal thereof is acquired.
4. The method of claim 1, wherein the determining a life prediction result of the target FPC connector using a pre-constructed coupling correlation model based on the mechanical response signal and the electrical response signal comprises: extracting a first characteristic value from the mechanical response signal and extracting a second characteristic parameter from the electrical response signal; And inputting the first characteristic value and the second characteristic parameter into the coupling correlation model to obtain a life state index of the FPC connector.
5. The method of claim 4, wherein the first characteristic value comprises at least one of a maximum strain value, a strain cycle cumulative value; The second characteristic parameter comprises at least one of a charge transfer resistor and an electric double layer capacitor.
6. The method of claim 1, wherein the method of constructing the pre-constructed coupling correlation model comprises: Acquiring a plurality of groups of training samples, wherein each group of training samples comprises a mechanical response signal sequence and an electrical response signal sequence which are acquired by an FPC connector sample in the test process, and an actual life or failure state label corresponding to the FPC connector sample; Based on the training samples, an association equation between the characteristic values extracted from the mechanical response signal sequence and the characteristic parameters extracted from the electrical response signal sequence is established to obtain the coupling association model.
7. The method of claim 6, wherein the establishing an association equation between the eigenvalues extracted from the mechanical response signal sequence and the eigenvalues extracted from the electrical response signal sequence comprises: And establishing a fitting relation between the characteristic values and the characteristic parameters by using a linear regression method to obtain the association equation.
8. The method of claim 4 or 7, further comprising: comparing the life state index with a preset early warning threshold value; And when the life state index reaches or exceeds the preset early warning threshold value, generating predictive maintenance prompt information.
9. An electronic device, comprising: at least one processor, and A memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform the method of any of claims 1-8.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any one of claims 1 to 8.

Description

FPC connector service life prediction method Technical Field The application relates to a reliability prediction technology of an electronic connector, in particular to a service life prediction method of an FPC connector. Background In the field of consumer electronics and industrial control, the FPC connector is used as a core interconnection component, and life prediction of the FPC connector has a key meaning for guaranteeing long-term stable operation of equipment. Laboratory accelerated aging test methods commonly adopted in the current industry, such as temperature and humidity cycle and mechanical plug cycle experiments, are usually performed under highly controlled single stress conditions, and cannot reproduce complex multi-physical field coupling effects in a real use environment, such as dynamic interactions of random vibration, temperature shock and humidity fluctuation. The significant disjoint between the test conditions and the actual working conditions makes it difficult for the test data to accurately map the life performance of the product in the actual scene, so that enterprises face dilemma that on one hand, materials and manufacturing costs may be increased due to over-design, and on the other hand, sudden failures of the product in the after-sales stage may be caused due to underestimating the actual failure risk, thereby causing customer complaints and brand reputation loss. In addition, the traditional monitoring technology mainly relies on single physical quantity parameters, such as measurement of contact resistance or plug force, which are very weak in change at early micro-damage stage of the connector, so that the existing sensor system is difficult to effectively identify such weak signals, and early warning cannot be performed at the failure sprouting stage. The maintenance strategy is therefore in a passive response state for a long period of time, and the equipment is often found to be faulty after complete failure, resulting in production interruption, rapid increase in maintenance cost and reduction in user satisfaction. For medium and small enterprises with limited resources, the problem is particularly serious, and due to the lack of complex working condition simulation tools and advanced data analysis platforms of large enterprises, the dual pressures of increasingly improving the reliability requirements of terminal products on FPC connectors and developing budgets are faced, and a service life assessment scheme which does not need expensive equipment, is easy to implement and has high prediction accuracy is urgently needed in the market. Disclosure of Invention First, the technical problem to be solved The application aims to provide a life prediction method of an FPC connector, electronic equipment and a computer readable storage medium, which have the advantages of improving prediction precision and reliability, can accurately evaluate the life performance of the FPC connector in a real complex environment, and avoid the problem of early failure early warning deficiency caused by the dependence on a single physical quantity in the existing method. (II) technical scheme The application provides a life prediction method of an FPC connector, which has the following technical scheme: Comprising the following steps: Acquiring a mechanical response signal and an electrical response signal generated in the operation process of the target FPC connector; and determining a life prediction result of the target FPC connector by utilizing a pre-constructed coupling correlation model based on the mechanical response signal and the electrical response signal, wherein the coupling correlation model characterizes the correlation between the characteristic change of the mechanical response signal and the characteristic change of the electrical response signal. The application further provides that the mechanical response signal is a micro-strain signal, and the obtaining of the mechanical response signal generated by the target FPC connector in the operation process comprises the following steps: And acquiring micro-strain signals of the FPC connector under the plug or vibration working condition through a micro-strain sensor arranged at the joint of the flexible substrate and the metal terminal of the FPC connector. The application further provides that the electrical response signal is an impedance spectrum signal, and the acquisition of the electrical response signal generated by the target FPC connector in the operation process comprises the following steps: An alternating current excitation signal is applied to the contact interface through a signal electrode connected to the contact interface of the FPC connector, and an impedance spectrum signal thereof is acquired. Further, the present application also provides a method for determining a life prediction result of a target FPC connector by using a pre-constructed coupling correlation model based on a mechanical response signa