Silicon capacitor reliability test system
The silicon capacitor reliability testing system, which integrates environmental simulation, parameter testing, and data processing and analysis, solves the problems of insufficient coverage of extreme conditions and low testing accuracy of traditional systems. It achieves multi-dimensional reliability assessment and high-precision testing, and provides comprehensive data support.
Patent Information
- Application Number
- CN202511207902.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-27
- Publication Date
- 2025-11-11
AI Technical Summary
Traditional silicon capacitor reliability testing systems have shortcomings in environmental simulation, parameter testing, and data processing. They cannot fully cover extreme conditions, have low testing accuracy, and insufficient data analysis capabilities, thus failing to meet the requirements of high-reliability applications.
A silicon capacitor reliability testing system integrating environmental simulation, parameter testing, and data processing and analysis was designed. It includes an environmental simulation module, a parameter testing module, and a data processing and analysis module. It can simulate extreme temperatures, humidity, and vibrations, perform high-precision multi-parameter tests, and identify failure modes through data analysis.
It enables multi-dimensional reliability assessment of silicon capacitors under complex environments, improves testing accuracy and reliability assessment capabilities, provides comprehensive data support, and ensures the accuracy and reliability of test results.
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Figure CN120928048A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of silicon capacitor testing, and in particular to a silicon capacitor reliability testing system. Background Technology
[0002] Silicon capacitors are crucial electronic components widely used in aerospace, automotive electronics, and communication equipment. Their reliability directly impacts the performance and stability of the entire electronic system. Therefore, comprehensive and accurate reliability testing of silicon capacitors is of great significance.
[0003] Traditional silicon capacitor reliability testing systems have played a vital role in the field of electronic component testing, providing a basis for quality control of silicon capacitors. These systems primarily focus on testing the basic performance parameters of silicon capacitors, and their structure is relatively simple with basic functions.
[0004] From an environmental simulation perspective, most traditional testing systems are only equipped with simple temperature control devices, resulting in a very limited temperature range. They are often limited to a relatively narrow temperature range, such as 0°C to 80°C, making it difficult to cover the extremely cold or high-temperature environments that silicon capacitors may encounter in actual applications. Humidity simulation is even scarcer; only a few high-end devices have basic humidity control functions, and their accuracy is poor, failing to accurately simulate the impact of different humidity levels on silicon capacitors. In vibration simulation, traditional systems are almost entirely absent, making it difficult to simulate the vibrations and shocks that silicon capacitors may experience during transportation and use.
[0005] In terms of parameter testing capabilities, traditional testing systems can only test a limited number of electrical parameters. They can generally only measure the capacitance of silicon capacitors, and the testing accuracy is low, with errors typically ranging from ±1% or even higher. For applications requiring extremely high precision, this level of accuracy is far from sufficient. Some traditional testing systems lack the capability to even measure critical parameters such as loss tangent and insulation resistance. Even among systems that can perform these measurements, the accuracy is unsatisfactory; for example, the accuracy of loss tangent testing is only ±0.01%, and the insulation resistance testing range is narrow, typically covering only 10^6 Ω to 10^9 Ω.
[0006] Data processing and analysis capabilities are also a major weakness of traditional testing systems. Test data is usually presented in simple numerical form, lacking effective storage and organization mechanisms, making it difficult to guarantee the long-term integrity and traceability of the data. In terms of data analysis, only some basic statistical calculations can be performed, such as simple average calculations, and in-depth analysis of test data is not possible. Traditional systems are almost incapable of performing complex functions such as trend analysis of parameter changes over time and environmental conditions, and failure mode analysis of silicon capacitors. This severely limits the basis they provide for the reliability assessment of silicon capacitors, making it difficult to meet the current application requirements for high-quality and high-reliability silicon capacitors. Summary of the Invention
[0007] This application provides a silicon capacitor reliability testing system, which has the advantages of comprehensively simulating the test environment, improving test accuracy and reliability assessment capabilities.
[0008] The system includes an environment simulation module, a control module connected to the environment simulation module, a parameter testing module connected to the control module, and a data processing and analysis module connected to the parameter testing module. The control module receives external input commands from the user and controls the environment simulation module and the parameter testing module to enter the corresponding working states according to the commands. The environment simulation module receives control commands from the control module and simulates the corresponding silicon capacitor test environment. The parameter testing module is connected to the silicon capacitor under test. Based on the test command received from the control module, it performs electrical parameter testing on the silicon capacitor under test in the target test environment and outputs test data. The data processing and analysis module receives and stores the test data output by the parameter testing module, performs statistical analysis on the test data, calculates the statistics of each parameter, and performs failure analysis based on the statistics within a set time range to determine the failure mode of the capacitor.
[0009] Specifically, the control module includes a central processing unit and an input / output unit; the user inputs corresponding instructions through the input / output unit and sends them to the central processing unit; The central processing unit controls the environment simulation module and the parameter testing module based on corresponding instructions; the input and output unit inputs and outputs instructions including environmental parameters and test parameters, and the display screen displays the system working status, environmental parameters, and test data.
[0010] Specifically, the environmental simulation module includes a temperature control unit, a humidity control unit, and a vibration control unit. The temperature control unit controls the ambient temperature of the silicon capacitor under test according to instructions, the humidity control unit controls the ambient humidity of the silicon capacitor under test, and the vibration control unit controls the vibration frequency of the silicon capacitor under test.
[0011] Specifically, the temperature control unit adjusts the temperature of the test environment within the range of -55℃ to 125℃ to simulate the effect of different temperature environments on silicon capacitors. The humidity control unit will vary the humidity of the test environment between 10% RH and 95% RH to simulate different humidity conditions; The vibration control unit provides vibration frequencies from 1Hz to 2000Hz and vibration amplitudes from 0.1mm to 5mm to simulate the vibration environment encountered by silicon capacitors during transportation and use.
[0012] Specifically, the parameter testing module includes a capacitance value testing unit, a loss tangent testing unit, and an insulation resistance testing unit. The capacitance value testing unit has a testing accuracy of ±0.1% and measures the capacitance value of the silicon capacitor. The loss tangent test unit measures the loss tangent value with a test accuracy of ±0.001. The insulation resistance test unit has a test range of 10^6Ω to 10^12Ω, reflecting the insulation performance of silicon capacitors throughout the entire test range.
[0013] Specifically, the data processing and analysis module includes a data storage unit and a data analysis unit. The data storage unit is used to store all test data sent by the parameter testing module. When a retrieval and query instruction for test data is received, the data is extracted and displayed from the data storage unit. The data analysis unit performs statistical analysis on the test data, calculates the average value and standard deviation of each parameter, and performs trend analysis on the statistics over a time period to observe the changing trends of parameters with time and environmental conditions; it also performs failure mode analysis to determine the failure modes of the silicon capacitor.
[0014] Specifically, the data analysis unit also generates a reliability assessment report for the data analysis process, providing a reliability reference for the quality improvement and application of silicon capacitors.
[0015] Specifically, the system also includes a magnetic levitation module, which has high-precision electromagnetic coils installed around the test chamber. The silicon capacitor under test is wrapped with a magnetic material shell. By controlling the electromagnetic coils to generate a magnetic force that cancels out the Earth's gravity, the silicon capacitor is stably levitated in the air.
[0016] Specifically, a high-precision mechanical sensor is installed inside the test chamber to detect the position and orientation of the silicon capacitor in real time.
[0017] Specifically, the magnetic levitation module is connected to the control module. The central processing unit of the control module adjusts the current of the electromagnetic coil in real time based on the closed-loop control algorithm and sensor feedback data to keep the silicon capacitor stably suspended in the air.
[0018] The beneficial effects of the technical solution provided in this application include at least the following: by integrating environmental simulation, multi-parameter testing and intelligent data analysis modules, extreme environment simulation, high-precision parameter measurement and failure mode identification are achieved, which has the advantages of comprehensively simulating the test environment, improving test accuracy and reliability assessment capabilities. Attached Figure Description
[0019] Figure 1 This is a system structure diagram of the silicon capacitor reliability testing system provided in the embodiments of this application; Figure 2 This is a logic diagram of the silicon capacitor reliability testing system provided in the embodiments of this application. Detailed Implementation
[0020] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.
[0021] In this article, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.
[0022] The reliability testing systems for silicon capacitors in related technologies have long suffered from problems such as limited environmental simulation dimensions, incomplete coverage of test parameters, and weak data analysis capabilities. Traditional testing equipment typically only allows for limited temperature regulation and cannot simulate extreme temperature, humidity, and vibration environments, leading to deviations between test conditions and actual application scenarios. Testing functions are limited to basic capacitance measurement; key parameters such as loss tangent and insulation resistance lack effective detection methods, making it difficult to meet the requirements of high-precision applications. Data management relies on raw recording methods, lacking systematic storage and in-depth analysis mechanisms, making it impossible to effectively identify device failure patterns.
[0023] To address the aforementioned issues, the R&D team analyzed silicon capacitor failure cases and discovered that 85% of early failures were directly related to environmental stress. Based on this, they proposed constructing a multi-environment coupled testing platform. Through a linkage mechanism between environmental simulation and electrical parameter testing, they revealed the impact of environmental factors on device performance. To solve the problem of fragmented test data, a distributed data acquisition architecture was adopted, a time-series database was established, and trend analysis algorithms were developed. Addressing the insufficient accuracy of traditional testing methods, high-precision signal conditioning circuits and adaptive calibration technology were introduced to improve the detection capability of weak signals.
[0024] Therefore, this application proposes a novel and improved silicon capacitor reliability testing system. Figure 1This is a system architecture diagram of the silicon capacitor reliability testing system provided in the embodiments of this application, which includes the following modules: The system includes an environmental simulation module, a control module connected to the environmental simulation module, a parameter testing module connected to the control module, and a data processing and analysis module connected to the parameter testing module. The control module receives external input commands from the user and controls the environment simulation module and parameter testing module to enter the corresponding working states according to the commands. The environment simulation module receives control commands from the control module and simulates the corresponding silicon capacitor test environment. The parameter testing module is connected to the silicon capacitor under test. Based on the test command received from the control module, it performs electrical parameter tests on the silicon capacitor under test under the target test environment and outputs test data. The data processing and analysis module receives and stores the test data output by the parameter testing module, performs statistical analysis on the test data, calculates the statistics of various parameters, and performs failure analysis based on the statistics within a set time range to determine the failure mode of the capacitor.
[0025] The system comprises several modules: an environmental simulation module, a device capable of reproducing various physical environmental conditions (specifically, a multi-channel temperature control chamber, humidity generator, and electromagnetic vibration table combined to simulate complex operating conditions in real-world silicon capacitor applications); a control module, the central unit of the system, implemented using an embedded industrial computer and PLC collaborative control architecture, responsible for instruction parsing and execution timing control; a parameter testing module, a multi-parameter electrical performance testing device, integrated with an LCR meter and high-resistance meter system, used to simultaneously acquire capacitance, loss tangent, and insulation resistance data; and a data processing and analysis module, a computing platform with data mining capabilities, implemented using a combination of time-series databases and machine learning algorithms to identify parameter change trends and failure characteristics.
[0026] Specifically, after system startup, the user sets test parameters and programs through the human-machine interface. After parsing the instructions, the control module first drives the environmental simulation module to construct the target test environment. Once the environmental parameters stabilize, the parameter testing module is triggered. Under continuous environmental stress, the parameter testing module periodically collects electrical parameters of the silicon capacitor, and the test data is transmitted in real time to the data processing and analysis module. The data analysis unit establishes parameter change curves, calculates statistical characteristics, and activates the failure mode recognition algorithm when parameters exceed threshold ranges. Throughout the test, the control module monitors the operating status of each module to ensure that environmental conditions and test actions are synchronized.
[0027] Through the above technical solution, this application achieves multi-dimensional reliability assessment of silicon capacitors under complex environmental stress. The test environment covers multiple factors such as temperature, humidity, and vibration, and the test parameters include key indicators such as capacitance, loss tangent, and insulation resistance. The test accuracy meets the requirements of industrial applications. The data analysis system can automatically generate parameter change trend graphs and failure analysis reports, effectively improving test efficiency and result reliability. Test data storage adopts a timestamp method, supporting historical data traceability and comparative analysis, providing a data foundation for silicon capacitor life prediction.
[0028] Figure 2 This is a logical diagram of the silicon capacitor reliability testing system provided in the embodiments of this application. In some embodiments, the control module includes a central processing unit and an input / output unit. The user inputs corresponding instructions through the input / output unit and sends them to the central processing unit. The central processing unit controls the environment simulation module and the parameter testing module based on the corresponding instructions. The input / output unit inputs and outputs instructions including environmental parameters and test parameters. The display screen displays the system working status, environmental parameters, and test data.
[0029] The central processing unit (CPU) is the core unit for performing logical operations and instruction processing. It can be implemented using a multi-core embedded processor, translating user-input instructions into control signals for the test environment simulation module and parameter testing module, thus solving the response delay problem caused by the dispersed instruction transmission paths in traditional systems. The input / output unit (I / O) is the hardware interface for human-computer interaction, typically implemented using a combination of a touchscreen and physical buttons. By integrating instruction input and status display functions, it eliminates the drawbacks of the separation between parameter setting and data display interfaces in traditional systems. The display screen is the visual interactive terminal, typically implemented using a high-resolution LCD screen. By synchronously displaying environmental parameters, test data, and system operating status, it forms a multi-dimensional real-time monitoring interface.
[0030] Specifically, the user operates the input / output unit to set the test environment parameters and test item parameters. After receiving the instructions, the central processing unit generates corresponding control signals, which are sent to the temperature control unit and humidity control unit of the environmental simulation module, and the capacitance value testing unit of the parameter testing module, respectively. The display screen in the input / output unit updates the temperature, humidity, and capacitance test data curves in the environmental chamber in real time. The central processing unit simultaneously monitors the operating status codes of each module and displays them as icons in the status bar of the display screen. When the environmental simulation module reaches the set temperature value, the central processing unit automatically triggers the parameter testing module to start capacitance measurement and transmits the measurement results back to the data display area of the display screen in real time, forming a closed-loop control link from instruction input to test execution and result feedback.
[0031] Traditional testing systems employ separate control panels and data display devices, requiring operators to switch between different devices to view environmental parameters and test data. This solution, however, integrates input / output units to achieve simultaneous operation of environmental parameter setting, test command issuance, and data visualization. Traditional systems require control commands to pass through multiple intermediate modules before reaching the execution unit, while this solution's central processing unit directly connects to the environmental simulation and parameter testing modules, shortening the control signal transmission path. Traditional systems cannot display the correlation curve between vibration frequency and capacitor loss tangent in real time, while this solution's display screen can simultaneously present the dynamic correspondence between vibration frequency adjustment and capacitor parameter changes.
[0032] Through the above technical solutions, this application achieves a unified interface for setting test environment parameters and monitoring test data, eliminating the risk of misoperation caused by the fragmented operation interfaces of traditional systems. Optimization of the command transmission path improves the response speed of the environment simulation module, reducing test startup latency from the traditional 3-second level to the millisecond level. Synchronous visualization of multi-dimensional data allows operators to observe the influence trend of temperature fluctuations on insulation resistance test values in real time, providing an intuitive basis for quickly identifying test anomalies.
[0033] In some embodiments, the environmental simulation module includes a temperature control unit, a humidity control unit, and a vibration control unit. The temperature control unit controls the ambient temperature of the silicon capacitor under test according to instructions, the humidity control unit controls the ambient humidity of the silicon capacitor under test, and the vibration control unit controls the vibration frequency of the silicon capacitor under test.
[0034] The temperature control unit is used to regulate the temperature of the test environment. It can be implemented using a combination of a semiconductor thermoelectric cooler and a resistance heater, achieving rapid adjustment over a wide temperature range by alternately controlling the cooling and heating power. The humidity control unit is used to regulate the humidity of the test environment. It can be implemented using an ultrasonic atomizer and a dry air injection system working together, achieving precise humidity control by adjusting the ratio of atomized water volume to dry air flow rate. The vibration control unit is used to generate mechanical vibration. It can be implemented using an electromagnetic vibration table with a servo motor driving an eccentric wheel structure, adjusting the vibration parameters by regulating the current frequency and the eccentric wheel's rotation radius.
[0035] In some possible implementations, the temperature control unit adjusts the temperature of the test environment within a range of -55°C to 125°C to simulate the effects of different temperature environments on silicon capacitors. The humidity control unit varies the humidity of the test environment between 10% RH and 95% RH to simulate different humidity conditions. The vibration control unit provides vibration frequencies from 1Hz to 2000Hz and vibration amplitudes from 0.1mm to 5mm to simulate the vibration environment encountered by silicon capacitors during transportation and use.
[0036] Specifically, the temperature control unit, through a combined control method of semiconductor thermoelectric effect and resistance heating, can create a stable temperature gradient within the test chamber, covering the extreme temperature conditions of silicon capacitors in the low-temperature environments of aerospace and the high-temperature conditions of automotive engine compartments. The humidity control unit employs a mixing ratio adjustment mechanism of atomized water vapor and dry air, enabling the creation of a full range of humidity conditions within a sealed test chamber, from arid desert environments to high-humidity tropical rainforest environments. The vibration control unit utilizes a combination of electromagnetic drive and mechanical eccentric structure to generate broadband mechanical vibrations on the test platform, simulating the low-frequency vibrations that silicon capacitors experience during operation of automotive electronic devices and the high-frequency impacts encountered during transportation.
[0037] Traditional testing systems can only adjust the temperature within the range of 0℃ to 80℃, which cannot cover the application requirements of silicon capacitors in extremely cold or high temperature scenarios; the lack of humidity adjustment function or insufficient accuracy results in test results that cannot reflect the impact of the real humidity environment; the vibration simulation function is completely blank, and it is impossible to reproduce the mechanical stress conditions during transportation and use.
[0038] Through the above technical solutions, this application can fully cover the performance testing requirements of silicon capacitors under extreme temperature conditions, accurately simulate the influence of different humidity environments on the dielectric properties of capacitors, effectively reproduce the influence of mechanical vibration on the structural reliability of silicon capacitors during transportation and use, thereby improving the matching degree between the test environment and real application scenarios.
[0039] In some embodiments, the parameter testing module includes a capacitance value testing unit, a loss tangent testing unit, and an insulation resistance testing unit. The capacitance value testing unit has a testing accuracy of ±0.1% and measures the capacitance value of the silicon capacitor. The loss tangent testing unit measures the loss tangent value with a testing accuracy of ±0.001. The insulation resistance testing unit has a testing range of 10^6 Ω to 10^12 Ω, reflecting the insulation performance of the silicon capacitor across the entire testing range.
[0040] The device includes several components: a capacitance measurement unit for measuring the actual capacitance of silicon capacitors, which can be implemented using a precision LCR bridge or digital signal processing technology, achieving high-precision measurement through high-frequency AC signal excitation and phase synchronization detection. A loss tangent measurement unit for evaluating the dielectric loss characteristics of silicon capacitors, which can be implemented using a phase-sensitive detection circuit combined with a lock-in amplifier, calculating dielectric loss by accurately measuring the phase difference between voltage and current. An insulation resistance measurement unit for testing the insulation performance of silicon capacitors, which can be implemented using a high-resistance meter combined with an adjustable high-voltage DC power supply, calculating the resistance value by applying a stepped test voltage and measuring the leakage current.
[0041] Specifically, the capacitance testing unit employs high-precision measurement technology, such as using a four-wire Kelvin connection to eliminate the influence of contact resistance, ensuring accurate capacitance value acquisition within a ±0.1% error range. The loss tangent testing unit improves testing accuracy to the ±0.001 level by optimizing signal source stability and noise suppression circuitry, for example, using a temperature-compensated crystal oscillator as the reference signal source. The insulation resistance testing unit utilizes wide dynamic range current detection technology, such as using a logarithmic amplifier to process current signals in the 10^-6A to 10^-12A range, achieving full-range coverage from 10^6Ω to 10^12Ω. The three testing units operate synchronously through a parallel testing architecture, simultaneously completing multi-dimensional testing of capacitance, dielectric loss, and insulation performance in a single test cycle.
[0042] Traditional testing systems can only measure single capacitor parameters and lack sufficient accuracy. For example, the capacitance value test error exceeds ±1%, the loss tangent cannot be detected, and the insulation resistance test upper limit is only 10^9Ω. This solution reduces the capacitance value test error by an order of magnitude through a multi-unit collaborative testing architecture, adds a loss tangent detection function, and expands the insulation resistance test range by three orders of magnitude, fully covering the performance testing needs of silicon capacitors from conventional applications to extreme operating conditions.
[0043] Through the above technical solution, this application realizes the synchronous high-precision testing of multiple types of electrical parameters of silicon capacitors, which solves the problems of single testing dimension, insufficient accuracy and blind spot of insulation performance detection in traditional systems, and provides comprehensive data support for evaluating the reliability of silicon capacitors in application scenarios such as high-frequency circuits and high-voltage environments.
[0044] In some embodiments, the data processing and analysis module includes a data storage unit and a data analysis unit. The data storage unit is used to store all test data sent by the parameter testing module. When a retrieval and query instruction for test data is received, the data is extracted and displayed from the data storage unit.
[0045] The data analysis unit performs statistical analysis on the test data, calculates the average value and standard deviation of each parameter, and performs trend analysis on the statistics over a period of time to observe the changing trends of parameters with time and environmental conditions; it also performs failure mode analysis to determine the failure modes of silicon capacitors.
[0046] The data storage unit is a hardware or software module for completely storing test data. Specifically, it can be implemented using a database system or a distributed storage architecture. By setting data storage formats and indexing mechanisms, it ensures that test data is stored according to timestamps and environmental parameters, solving the integrity and traceability problems caused by the scattered storage of data in traditional systems. The data analysis unit is a computational module that performs multi-dimensional processing of the test data. Specifically, it can be implemented using statistical calculation models, time series analysis algorithms, and failure mode recognition models. Through statistical calculations, trend modeling, and failure determination logic, it solves the problem that traditional systems can only output single values and cannot perform dynamic analysis and failure determination.
[0047] After receiving test data from the parameter testing module, the data storage unit uses a structured storage method to classify and save the data according to test time and environmental conditions, and establishes a data index table. When a retrieval command is received, the target data is quickly located by querying the index table and output to the display interface. The data analysis unit performs hierarchical processing on the stored test data: first, the statistical calculation module calculates the average and standard deviation of parameters such as capacitance value and loss tangent to reveal the parameter distribution characteristics; then, the trend analysis module establishes the parameter change curves over time or environmental variables to capture parameter drift or abrupt change patterns; finally, the failure analysis module compares the statistics with preset failure thresholds and uses pattern recognition algorithms to determine failure modes such as capacitor short circuit, leakage, or capacity decay. The collaborative work of the three analysis levels achieves comprehensive data processing from basic statistics to reliability assessment.
[0048] Traditional testing systems employ simple numerical storage methods, resulting in scattered data and a lack of indexing mechanisms. This leads to difficulties in retrieving historical data and an inability to support long-term trend analysis. Data analysis functions are limited to calculating the average value of a single parameter, failing to correlate with time and environmental variables for dynamic trend tracking, and lacking a logical model for failure determination. This solution, through structured storage and a multi-level analysis architecture, not only achieves complete storage and rapid retrieval of test data but also addresses the problems of low data utilization and incomplete failure mode identification in traditional systems through combined analysis of statistical calculations, trend modeling, and failure determination.
[0049] Through the above technical solutions, this application achieves complete storage and rapid retrieval of test data, ensuring data traceability; through parameter statistics calculation and time series analysis, it accurately captures the dynamic law of silicon capacitor performance changing with environmental conditions; through failure mode determination logic, it identifies typical failure types such as capacitor short circuit and leakage, providing data support for reliability assessment.
[0050] In some embodiments, the data analysis unit also generates a reliability assessment report for the data analysis process, providing a reliability reference for the quality improvement and application of silicon capacitors.
[0051] The reliability assessment report is a structured document generated from test data through statistical analysis and trend prediction. It can be generated using data visualization algorithms combined with a failure mode database. The data analysis unit integrates parameter statistics, trend changes, and failure correlation data to transform discrete test results into engineering application conclusions. Specifically, after the test data is input into the data analysis unit, the average and standard deviation of the parameters are first calculated to identify the range of parameter fluctuations. Then, time series analysis is performed on the data within the test period to establish a correlation model between parameters and environmental variables. When abnormal parameter fluctuations or exceeding preset thresholds are detected, the failure mode matching mechanism is triggered, calling the stored failure feature database for pattern recognition. Finally, the statistical analysis results, trend prediction curves, and failure diagnosis conclusions are automatically generated into an assessment report containing textual descriptions and data charts.
[0052] In the aerospace field, silicon capacitors are widely used as key electronic components in satellite communication systems. These systems need to operate stably for extended periods in the extreme temperatures, high humidity, and strong vibrations of space. However, existing silicon capacitor reliability testing systems struggle to accurately simulate the complex combination of conditions in the space environment, particularly the performance changes under microgravity. In microgravity, the dielectric distribution within the capacitor can undergo subtle changes, leading to abnormal fluctuations in capacitor parameters. These performance changes under such special conditions are difficult to accurately predict through ground-based testing, potentially causing unexpected failures in satellite communication systems during actual operation. Therefore, simulating the impact of microgravity on silicon capacitor performance through ground-based testing has become a critical challenge in the reliability assessment of aerospace electronic components.
[0053] To address the specific technical challenge of microgravity environment simulation, we propose an optimized microgravity testing scheme for silicon capacitors based on magnetic levitation technology. This scheme adds a magnetic levitation unit to the original environment simulation module, using a precisely controlled magnetic field to counteract Earth's gravity, thereby simulating microgravity conditions.
[0054] like Figure 1 As shown, the system also includes a magnetic levitation module. The magnetic levitation module has high-precision electromagnetic coils installed around the test chamber. The silicon capacitor under test is wrapped with a layer of magnetic material shell. By controlling the electromagnetic coils to generate a magnetic force that cancels out the Earth's gravity, the silicon capacitor is stably levitated in the air.
[0055] The magnetic levitation module is a device that achieves contactless support of an object through the action of an electromagnetic field. Specifically, it can be achieved by arranging an array of multiple electromagnetic coils around the test cavity. The current intensity of each coil can be adjusted independently, thereby forming a controllable magnetic field distribution in three-dimensional space.
[0056] The high-precision electromagnetic coil features a fast response and precise current control. It can be made of superconducting materials or high-purity copper wire. By adjusting the direction and magnitude of the coil current in real time, it can generate a reverse magnetic force that precisely matches the gravity of the silicon capacitor. The magnetic material shell, a magnetically conductive layer surrounding the silicon capacitor, can be made of iron-nickel alloy or soft magnetic composite material. Its function is to concentrate the external electromagnetic field onto the silicon capacitor, improving the energy conversion efficiency of the magnetic levitation system. The array of electromagnetic coils surrounding the test chamber generates a spatial gradient magnetic field after being energized, and the magnetic material shell outside the silicon capacitor couples with this magnetic field. By adjusting the current parameters of each coil in real time, the resultant magnetic force and the gravity acting on the silicon capacitor are dynamically balanced, allowing it to detach from the physical support structure and remain suspended. During this process, the mechanical contact between the silicon capacitor and the test fixture is completely eliminated, avoiding stress interference introduced by traditional clamping methods. Simultaneously, the suspended silicon capacitor can freely respond to simulated external vibration or impact loads, and its motion trajectory and attitude changes more realistically reflect the mechanical environment in actual applications.
[0057] Traditional testing systems rely on mechanical clamps to fix silicon capacitors. The pressure generated at the contact surface alters the stress distribution of the device, causing test results to deviate from actual performance. While some existing technologies employ levitation testing devices, they mostly use air flotation or electrostatic levitation, which suffer from weak load-bearing capacity and poor stability. This solution, through the synergistic effect of an electromagnetic coil and a magnetic shell, not only achieves contactless support but also actively adjusts the levitation stiffness to adapt to the testing requirements of silicon capacitors of varying weights.
[0058] Through the above technical solution, this application effectively eliminates measurement errors caused by mechanical contact during the testing process, enabling the electrical parameter test results to more accurately reflect the intrinsic characteristics of silicon capacitors. Simultaneously, the suspended state provides a physical basis for simulating multidimensional vibration environments, allowing for a more accurate assessment of the reliability performance of silicon capacitors under complex mechanical conditions. The testing system maintains stable suspension of the silicon capacitor through active magnetic field control, providing a reliable guarantee for long-term continuous testing.
[0059] Of course, to ensure the accuracy of data measurement in a microgravity environment, a high-precision mechanical sensor is installed inside the test chamber to detect the position and orientation of the silicon capacitor in real time. The magnetic levitation module is connected to the control module, and the central processing unit of the control module adjusts the current of the electromagnetic coil in real time based on a closed-loop control algorithm and sensor feedback data to keep the silicon capacitor stably suspended in the air.
[0060] A high-precision mechanical sensor is a detection device capable of measuring the three-dimensional spatial coordinates and angular displacement changes of an object. Specifically, it can be implemented using strain gauge sensors or piezoelectric sensors, achieving measurement accuracy down to the micrometer level. This sensor is integrated into the inner wall surface of the test chamber to capture the real-time spatial coordinates of a silicon capacitor in a suspended state. The position and orientation of the silicon capacitor are continuously monitored in real time, acquiring spatial coordinate data of the tested object at millisecond intervals. This can be achieved through an embedded data acquisition card and digital signal processing algorithms. This detection process converts the displacement into an electrical signal, which serves as the feedback input parameter for a closed-loop control system.
[0061] Specifically, when the silicon capacitor is suspended under the action of the magnetic levitation module, a high-precision mechanical sensor continuously collects its three-dimensional coordinates and tilt angle data. The collected position offset is transmitted to the central processing unit of the control module via a data bus. The central processing unit determines the current state based on a preset levitation stability threshold. If the displacement of the silicon capacitor exceeds the allowable range, a current adjustment command is immediately generated and sent to the electromagnetic coil drive circuit to rebalance the magnetic force distribution by changing the coil current intensity. This dynamic adjustment mechanism allows the silicon capacitor to maintain its predetermined levitation posture even when subjected to external interference, eliminating test errors caused by poor contact of the test probe or changes in measurement distance due to position offset.
[0062] The closed-loop control algorithm is a control method that dynamically adjusts control parameters based on the deviation between the system output and the desired value in real time. Specifically, it can be implemented using a proportional-integral-derivative (PI-DE) control algorithm. Its function is to generate real-time compensation signals based on the dynamic changes in the suspension state. Sensor feedback data consists of real-time measurements of the spatial position and attitude angle of the silicon capacitor by mechanical sensors. Specifically, this can be achieved using a three-dimensional coordinate sensor or an inertial measurement unit (IMU). Its function is to provide real-time monitoring data of the suspension state for the closed-loop control.
[0063] Electromagnetic coil current adjustment achieves dynamic balance of levitation force by changing the driving current intensity of the electromagnetic coil and adjusting the magnetic field distribution. Specifically, pulse width modulation technology or digital power amplifier can be used to achieve this. Its function is to convert the compensation signal output by the control algorithm into actual levitation force adjustment action.
[0064] Specifically, the mechanical sensor continuously monitors the suspension position and attitude angle of the silicon capacitor and transmits the data to the central processing unit (CPU) in real time. The CPU compares the received sensor data with preset suspension parameters and calculates the deviation between the current suspension state and the target state using a closed-loop control algorithm, generating a corresponding current adjustment command. This command is sent to the electromagnetic coil drive circuit, which adjusts the force of the magnetic field on the silicon capacitor by changing the intensity or direction of the coil current, thus maintaining its stable suspension in three-dimensional space. The entire adjustment process is executed cyclically at millisecond intervals, ensuring that the suspension state is always in dynamic equilibrium.
[0065] Through the above technical solution, this application solves the problem of measurement data distortion caused by mechanical contact in vibration testing of silicon capacitors, realizes non-contact stable suspension control of silicon capacitors in complex environment simulation testing, and provides the basic conditions for accurately obtaining the electrical parameters of silicon capacitors under real working conditions.
[0066] This specific embodiment is merely an explanation of the present invention and is not intended to limit the invention. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they are within the scope of the claims of the present invention.
Claims
1. A silicon capacitor reliability testing system, characterized in that, The system includes an environment simulation module, a control module connected to the environment simulation module, a parameter testing module connected to the control module, and a data processing and analysis module connected to the parameter testing module. The control module receives external input commands from the user and controls the environment simulation module and the parameter testing module to enter the corresponding working states according to the commands. The environment simulation module receives control commands from the control module and simulates the corresponding silicon capacitor test environment. The parameter testing module is connected to the silicon capacitor under test. Based on the test command received from the control module, it performs electrical parameter testing on the silicon capacitor under test in the target test environment and outputs test data. The data processing and analysis module receives and stores the test data output by the parameter testing module, performs statistical analysis on the test data, calculates the statistics of each parameter, and performs failure analysis based on the statistics within a set time range to determine the failure mode of the capacitor.
2. The silicon capacitor reliability testing system according to claim 1, characterized in that, The control module includes a central processing unit and an input / output unit; the user inputs corresponding instructions through the input / output unit and sends them to the central processing unit. The central processing unit controls the environment simulation module and the parameter testing module based on corresponding instructions; the input and output unit inputs and outputs instructions including environmental parameters and test parameters, and the display screen displays the system working status, environmental parameters, and test data.
3. The silicon capacitor reliability testing system according to claim 1, characterized in that, The environmental simulation module includes a temperature control unit, a humidity control unit, and a vibration control unit. The temperature control unit controls the ambient temperature of the silicon capacitor under test according to instructions, the humidity control unit controls the ambient humidity of the silicon capacitor under test, and the vibration control unit controls the vibration frequency of the silicon capacitor under test.
4. The silicon capacitor reliability testing system according to claim 3, characterized in that, The temperature control unit adjusts the temperature of the test environment within the range of -55℃ to 125℃ to simulate the effect of different temperature environments on silicon capacitors. The humidity control unit will vary the humidity of the test environment between 10% RH and 95% RH to simulate different humidity conditions; The vibration control unit provides vibration frequencies from 1Hz to 2000Hz and vibration amplitudes from 0.1mm to 5mm to simulate the vibration environment encountered by silicon capacitors during transportation and use.
5. The silicon capacitor reliability testing system according to claim 1, characterized in that, The parameter testing module includes a capacitance value testing unit, a loss tangent testing unit, and an insulation resistance testing unit. The capacitance value testing unit has a testing accuracy of ±0.1% and measures the capacitance value of silicon capacitors. The loss tangent test unit measures the loss tangent value with a test accuracy of ±0.
001. The insulation resistance test unit has a test range of 10^6Ω to 10^12Ω, reflecting the insulation performance of silicon capacitors throughout the entire test range.
6. The silicon capacitor reliability testing system according to claim 1, characterized in that, The data processing and analysis module includes a data storage unit and a data analysis unit. The data storage unit is used to store all test data sent by the parameter testing module. When a retrieval and query instruction for test data is received, the data is extracted and displayed from the data storage unit. The data analysis unit performs statistical analysis on the test data, calculates the average value and standard deviation of each parameter, and performs trend analysis on the statistics within a time period to observe the changing trend of parameters with time and environmental conditions. Failure mode analysis was also performed to determine the failure modes of the silicon capacitors.
7. The silicon capacitor reliability testing system according to claim 1, characterized in that, The data analysis unit also generates a reliability assessment report for the data analysis process, providing a reliability reference for the quality improvement and application of silicon capacitors.
8. The silicon capacitor reliability testing system according to claim 1, characterized in that, The system also includes a magnetic levitation module, which has high-precision electromagnetic coils installed around the test chamber. The silicon capacitor under test is wrapped with a magnetic material shell. By controlling the electromagnetic coils to generate a magnetic force that cancels out the Earth's gravity, the silicon capacitor is stably levitated in the air.
9. The silicon capacitor reliability testing system according to claim 8, characterized in that, A high-precision mechanical sensor is installed inside the test chamber to detect the position and orientation of the silicon capacitor in real time.
10. The silicon capacitor reliability testing system according to claim 9, characterized in that, The magnetic levitation module is connected to the control module. The central processing unit of the control module adjusts the current of the electromagnetic coil in real time based on the closed-loop control algorithm and sensor feedback data to keep the silicon capacitor stably suspended in the air.