6285 results about "Signal transition" patented technology

A physiological patient monitor can include a front end conditioner that can receive analog sensor signal from a sensor responsive to a person's physiology. The patient monitor can further include an analog-to-digital converter that can convert analog sensor signal to a digital sensor information. The patient monitor can determine one or more patient specific physiological parameters. The patient monitor can further determine a physiological condition of a patient based on processing multiple physiological parameters. The patient monitor can generate a user interface that can included a visual representation of the patient's physiological condition.

The invention discloses an on-line detection method for gas in transformer oil based on photoacoustic spectrum self-correction, and relates to the technical field of spectrum detection and power equipment state monitoring, and the method comprises the following steps: S1, emitting modulation laser with a specific wavelength to a gas sample released by the transformer oil through a laser, and exciting gas molecules to generate photoacoustic signals; and S2, detecting the photoacoustic signal by using a photoacoustic sensor, converting the signal into an electric signal, and outputting the electric signal. According to the online detection method for the gas in the transformer oil, the correction coefficient is adjusted in real time through a self-correction algorithm, errors caused by light path changes and sensor aging are effectively compensated, the precision and stability of long-term detection are remarkably improved, and the detection accuracy is improved by combining a gas spectrum database and a mode recognition algorithm. According to the method, accurate qualitative and quantitative analysis of various gases is realized, the problem of cross sensitivity of multiple components is solved, and the method also has temperature and pressure compensation functions and can automatically adapt to environmental changes.

A system includes a housing and a first circuit board positioned inside the housing. The housing has a top panel, a bottom panel, a left side panel, a right side panel, a front panel, and a rear panel. The front panel is at an angle relative to the bottom panel in which the angle is in a range from 30 to 150°. The first circuit board has a length, a width, and a thickness, in which the length is at least twice the thickness, the width is at least twice the thickness, and the first circuit board has a first surface defined by the length and the width. The first surface of the first circuit board is at a first angle relative to the bottom panel in which the first angle is in a range from 30 to 150°. The first surface of the first circuit board is substantially parallel to the front panel or at a second angle relative to the front panel in which the second angle is less than 60°. The system includes a first data processing module and a first optical interconnect module both electrically coupled to the first circuit board. The optical interconnect module is configured to receive first optical signals from a first optical link, convert the first optical signals to first electrical signals, and transmit the first electrical signals to the first data processing module.

The invention discloses a metering equipment interference signal suppression method and system in an electromagnetic compatibility test, and the method comprises the steps: obtaining an input signal of metering equipment in the electromagnetic compatibility test, performing windowing processing on the input signal by adopting a self-adaptive fractional order window function, and then obtaining a frequency spectrum component of the input signal through self-adaptive fractional order Fourier transform; calculating the amplitude of the frequency spectrum component, comparing the amplitude with a power threshold value, and screening out the frequency spectrum component of the interference signal; establishing a spectrum model of the interference signal based on the interference signal spectrum component; and generating a frequency domain compensation signal considering interference signal phase correction, converting the frequency domain compensation signal into a time domain compensation signal, and superposing the time domain compensation signal and the input signal to obtain a signal after interference suppression. According to the method, the frequency spectrum characteristics of the signals in different frequency bands can be ensured to be clear, the interference signal components can be accurately identified, the energy distribution of the interference signals can be effectively simulated, and the high-efficiency interference suppression capability can still be kept in a variable signal environment.

The invention relates to the technical field of coal mine telemetering, in particular to a mining laser methane telemetering system based on multispectral fusion, which comprises a multispectral laser emission module, an optical receiving and signal conversion module, a multispectral fusion processing module, an intelligent algorithm compensation module, a data transmission and display module and a power supply module. According to the method, accurate and real-time monitoring of the methane concentration in the coal mine environment is achieved, reliable guarantee is provided for coal mine safety production, compared with a traditional neural network compensation model, the optimized neural network compensation model has the advantages that the methane concentration compensation precision is greatly improved, the generalization ability of the model to different environment conditions is obviously enhanced, and the method is suitable for popularization and application. Accurate measurement of methane concentration can be realized in a more complex and changeable coal mine environment. Meanwhile, due to the application of a dynamic weight compensation mechanism and an uncertainty quantification and compensation adjustment method, the reliability and the stability of a measurement result are further improved, and a more powerful guarantee is provided for safe production of a coal mine.

The invention discloses a pipeline defect identification method and device, a storage medium and equipment, and belongs to the technical field of pipeline defect detection. The method comprises the following steps: S1, acquiring a time sequence sound signal acquired by an acoustic sensor arranged on the inner wall and / or the outer wall of a pipeline; s2, performing spectrogram extraction on the time sequence sound signal to obtain a Mel spectrogram and a LOFAR spectrogram; and S3, performing feature extraction on the Mel spectrogram, the LOFAR spectrogram and the time sequence sound signal through a deep learning model of multi-modal signal fusion to obtain a feature vector containing spectrogram features and time sequence features, and performing classification according to the feature vector to obtain a classification result of pipeline defects. According to the method, the acoustic signals are converted into different types of spectrograms, the original time sequence signals are combined, feature extraction, fusion and classification are carried out through a deep learning model, complementary information of the spectrograms and the time sequence signals is fully utilized, the limitation of a single recognition mode is overcome, and the accuracy and robustness of pipeline defect detection are improved.

The invention relates to a compact polarization rotation beam splitter, which comprises an input waveguide, a mode conversion region, a mode coupling region and an output waveguide, a TM0 mode optical signal in the optical signals is converted into a TE mode high-order optical signal in the mode conversion area; the mode coupling region is used for coupling the TE mode high-order optical signal into a TE0 mode optical signal with the first adiabatic coupling waveguide; and the output waveguide is used for outputting a TE0 mode optical signal which is not subjected to mode conversion in the optical signals, and outputting a TE0 mode optical signal obtained after mode conversion of the mode conversion area and the second adiabatic coupling waveguide. According to the invention, the polarization rotation path can be shortened through high-order mode conversion in the mode conversion area, efficient beam splitting is realized by using the asymmetric adiabatic coupling waveguide in the mode coupling area, the size reduction of a redundant structure is avoided through function integration, the performance of the beam splitter is ensured, and the problems of large size and low cost of the existing polarization rotation beam splitter are solved. And the performance is not good.

The invention discloses a multi-person posture recognition method based on CSI (Channel State Information) and an attention mechanism, and the method comprises the steps: constructing a multi-person posture recognition system MultiFormer based on the CSI and the attention mechanism, designing a double-TokenTransformer architecture of a time-frequency double-domain Token TFDDT, converting an original CSI signal into a time domain Token and a frequency domain Token, maintaining the local feature continuity of the time domain and the frequency domain, and carrying out the recognition of the posture of a plurality of persons. And a multi-stage feature fusion network MSFN is developed to optimize a part thermodynamic diagram PCM and a part associated field PAF, and the fusion of CSI features and an intermediate attitude thermograph is realized through an adaptive channel-space attention mechanism, so that the anatomical consistency is ensured, and a multi-person scene is supported. According to the method, a MultiFormer system is provided and is different from existing CSI imaging processing, an interpretable TFDDT preprocessing method is adopted, the system adopts a multi-stage heat map estimation method to realize global attitude perception, the estimation precision is improved through iterative optimization, a multi-person scene is supported, attitude topology conforming to an anatomical structure is generated, and the method has the advantages of being simple in structure, convenient to operate and high in practicability. The method has the characteristics of privacy protection, low cost and no influence of illumination.

The invention discloses a power distribution equipment on-line monitoring system based on multi-modal data fusion, and relates to the field of power distribution equipment management, and the system comprises a sensing module which is used for collecting an electrical signal, a thermal infrared signal, a mechanical vibration signal and an acoustic signal generated in the operation process of power distribution equipment through a multi-type sensing channel, converting the collected various signals into processable equipment state original data to form an equipment operation state original data set; according to the invention, through accurate acquisition of multi-dimensional signals, combination of space mapping and time delay compensation, data quality is optimized, the reliability of original information is ensured, key features are extracted according to working conditions, subtle state changes are captured by means of temperature field analysis and a variable-resolution spectrum technology, the comprehensiveness, accuracy and response timeliness of equipment operation monitoring are effectively improved, and the real-time performance of equipment operation monitoring is improved. Misjudgment and missed judgment are reduced, and fault risks are avoided in advance.

Aspects of this technical solution can include a plurality of SAR TC stages configured to convert an input time signal to a digital code including a plurality of output signals each corresponding to a SAR TDC stage among the plurality of SAR TDC stages connected to an input of a following SAR TDC stage among the plurality of SAR TDC stages, where the SAR stage is controlled by a clock signal based on a delayed clock signal from a previous SAR TDC stage among the plurality of SAR TDC stages.

The invention discloses a dual-mode analog front end with a full-speed clock-free decision feedback equalizer (UC-DFE). The dual-mode analog front end comprises a terminating impedance matching network, a linear processing link, the UC-DFE and a signal output module, the terminating impedance matching network realizes broadband impedance matching and electrostatic protection; the linear processing link comprises a CTLE and a VGA and is used for compensating channel attenuation and expanding signal bandwidth; the UC-DFE comprises a summator, a static comparator, a delay unit and a feedback tap, and realizes high-speed signal processing and feedback equalization; and the signal output module converts the balanced signal into a target coding format and outputs the signal. According to the invention, the overall performance of the circuit is improved, the problems of time sequence tension, bandwidth limitation and the like of the traditional DFE architecture at a high speed are solved, and the circuit is suitable for 128Gbps high-speed PAM4 and NRZ signal transmission and shows better comprehensive performance.

The invention belongs to the field of photoelectric detection, and discloses a germanium-silicon photoelectric detector array and a signal reading method thereof, and the germanium-silicon photoelectric detector array comprises a plurality of macro pixel units which are sequentially arranged side by side according to a set interval; each macro pixel unit comprises a plurality of pixel units and an output bus, the pixel units are sequentially arranged from top to bottom according to a set interval, the output end of each pixel unit is electrically connected with the output bus, and the voltage input end of each pixel unit is connected with a bias voltage output module. Providing a bias voltage for each pixel unit to enable each pixel unit to work in a bias state; inputting an optical signal to a detector of each pixel unit to generate a light current, and performing signal conversion and amplification on the light current to obtain an amplified voltage signal; and the voltage signal is output to the output bus after passing through the driver. According to the technical scheme, layout, wiring and hardware resources can be saved, and meanwhile the adverse effect caused by the power supply crosstalk problem is reduced.

The invention provides a cross-medium remote control communication method, device and equipment and a storage medium, which are applied to a cross-medium remote control system comprising a transmitting end and a receiving end. The method comprises the following steps that: a transmitting end responds to a key operation of a user, generates a key signal, codes the key signal, and generates a modulation electric signal containing a synchronous head signal and an instruction frequency signal; environment parameter information is collected, dynamic parameter adjustment is carried out on the modulation electric signal according to the environment parameter information, and the adjusted modulation electric signal is converted into a modulation light signal through an LED; a receiving end receives the cross-medium transmission optical signal, carries out amplification and digital processing, and extracts frequency characteristic information through spectrum analysis; and analyzing a control instruction according to the frequency characteristic information and executing corresponding equipment control operation. Through the specific time-frequency signal structure design and the multi-stage signal processing technology, the stability problem of water-air interface signal transmission is effectively solved, and low-delay and high-success-rate cross-medium remote control communication is achieved.

The invention provides a computing device. The computing device comprises a PCB (Printed Circuit Board), a computing chip and one or more optical modules, the computing chip is arranged on the PCB and comprises one or more input and output high-speed interfaces. Each input / output high-speed interface has one or more input high-speed ports and one or more output high-speed ports. Each output high-speed port performs parallel-serial conversion on a parallel signal in the computing chip to output a first electric signal, and each input high-speed port performs serial-parallel conversion on a received second electric signal serving as a high-speed serial signal. The one or more optical modules are arranged on the PCB, and each port in the electric input and output interface of each optical module is electrically connected with the corresponding input or output high-speed port in the computing chip through wires in the PCB. Each optical module converts the received first electrical signal into a first optical signal and converts the received second optical signal into a second electrical signal.

A signal for wireless transmission is modulated by converting a serial sequence of symbols in the time domain into parallel symbol streams, transforming the parallel symbol streams into the frequency domain, mapping the resulting frequency domain signals onto subcarriers, converting the mapped signals into the time domain and converting the parallel time-domain signals into a serial signal. The serial signal is subjected to chirping and is transmitted to a receiver after adding a cyclic prefix (CP). The receiver removes the CP from the signal and, after de-chirping the prefix-less signal, converts the signal into parallel signals. The parallel signals are converted into the frequency domain for channel estimation, equalisation, and subcarrier mapping of detected symbols. The mapped symbols are transformed into the time domain before converting them into a serial stream of symbols.

A time-interleaved analog-to-digital converter includes a plurality of sampling circuits, a plurality of analog-to-digital converter circuits, an output circuit, and a calibration circuit. The plurality of sampling circuits are configured to sequentially sample an input signal to generate a plurality of first signals, in which a circuit parameter of each of the plurality of sampling circuits is set according to a corresponding control signal in a plurality of control signals. The plurality of analog-to-digital converter circuits are configured to generate a plurality of first digital codes according to the plurality of first signals. The output circuit is configured to output a second digital code according to the plurality of first digital codes. The calibration circuit is configured to generate the plurality of control signals and adjust the plurality of control signals according to the second digital code.

According to the SiC MOSFET global short circuit and overcurrent protection circuit and the control method thereof provided by the invention, when a short circuit fault occurs in the SiC MOSFET, the drain current ID is more than several times of the rated current of the SiC MOSFET. When a short circuit occurs, a transistor QDZ of the short circuit detection circuit is switched on by node voltage Vr of the resistance-capacitance filter circuit, a fault signal VFAULT is converted into a low level, grid voltage VGS output by the grid control unit is gradually converted into zero voltage from negative driving voltage VEE, and soft turn-off is performed on the SiC MOSFET; when an over-current fault occurs in the SiC MOSFET, drain current ID is higher than rated current, node voltage Vo of the resistance-capacitance filter circuit lasts for a long time, the maximum value of capacitor voltage Vch of the over-current detection circuit is higher than reference voltage Vref2, a fault signal VFAULT is converted into low level, grid voltage VGS output by the grid control unit is gradually converted into zero voltage from negative driving voltage VEE, and soft turn-off is performed on the SiC MOSFET. According to the invention, high-speed short circuit and over-current fault protection of the SiC MOSFET in all inductance regions of a commutation loop can be realized.

An internal temperature field and partial discharge on-line monitoring and fault early warning device for power equipment comprises an infrared signal detection and transmission system and a data detection and fault evaluation system in signal connection with the infrared signal detection and transmission system. The infrared signal detection and transmission system comprises a head end searchlighting light path and a signal conversion device which are connected through an infrared optical fiber bundle, and the data detection and fault evaluation system is located on an upper computer and comprises a signal processing module, a data real-time monitoring module and a fault judgment and evaluation module; according to the invention, an infrared radiation image of temperature field distribution in the detected power equipment is detected through the head end searchlighting light path, optical signals are converted and processed through the signal conversion device and the signal processing module, displayed and stored through the data real-time monitoring module, and compared through the fault judgment and evaluation module to provide fault diagnosis. Real-time monitoring and remote control are achieved, the measurement precision is high, the measurement range is wide, and early warning is timely and accurate.

The invention discloses a signal sampling method for a multi-channel signal converter, and the method comprises the steps: carrying out the synchronous and parallel sampling of an analog signal source according to a multi-channel signal collection module, so as to obtain multi-channel original signal sequence data; performing inter-channel time delay calibration and amplitude normalization processing on the multichannel original signal sequence data to obtain a calibrated multichannel signal data set; the invention relates to the technical field of signal processing. According to the signal sampling method for the multi-channel signal converter, the multi-channel signal converter improves the data consistency and accuracy through the technologies of synchronous sampling, time delay calibration, amplitude normalization and the like, meanwhile, precision adjustment of self-adaptive filtering, dynamic threshold segmentation and entropy driving is adopted, signal interference and abnormal data are reduced, and the signal quality is improved. The non-uniform resampling and compression technology is adopted to optimize the storage and transmission efficiency, key data is ensured to be transmitted preferentially, hardware is accelerated through an FPGA, and the real-time performance and the processing capacity of the system are improved.

The invention relates to the technical field of particle accelerators, in particular to a transverse feedback system with a switchable excitation direction and a control method thereof, and the system comprises a beam position detector BPM which is used for measuring a beam signal; the RF front end is used for receiving the beam signal sent by the beam position detector BPM and carrying out amplification and filtering processing; the ADC module is used for converting the beam signal into a digital signal; the digital signal processing module is used for carrying out digital signal processing calculation to obtain an excitation signal; the DAC module is used for carrying out digital-to-analog conversion; the power divider is used for adjusting the phase of the excitation signal; the exciter comprises four Kickers with electrodes, a power amplifier, a low-pass filter and a matched load and is used for applying a transverse excitation signal to the beam current, and the problems that in the prior art, a transverse feedback system Kicker occupies a large longitudinal space, the system is complex, and precision and efficiency are low are solved.

The invention relates to the technical field of safety circuits, and provides a diagnosis method and circuit of a digital-to-analog conversion circuit, equipment and a medium. According to the method, two independent AI acquisition modules are arranged to respectively acquire analog quantity signals acquired at the same target measurement point, the acquired analog quantity signals are converted into digital signals through a built-in ADC circuit, and then the two paths of digital signals are transmitted to a safety logic module to be compared and judged; when the difference value of the two paths of digital signals is smaller than the preset safety threshold value, it is determined that the ADC circuit passes the diagnosis, and when the difference value of the two paths of digital signals is larger than or equal to the preset safety threshold value, it is determined that the ADC circuit does not pass the diagnosis, and therefore it is not needed to independently configure a DAC circuit for the ADC circuit in each AI collection module; the implementation difficulty and the implementation cost of the diagnosis circuit are reduced, the development period of the diagnosis circuit is shortened, and the diagnosis efficiency is improved.

An apparatus (and / or method) for training machine-learning model to make determinations from mismatched channel signals, wherein the apparatus includes a processor and memory communicatively connected to the processor. The memory containing instructions configuring the processor to receive a first set of signals using a first number of channels, process the first set of signals to simulate a second set of signals from a second number of channels, train a signal conversion model using the first set of signals and the second set of signals, and output a set of converted signals having the first number of channels using the third set of signals and the trained signal conversion model.

The invention discloses a method and device for detecting the moisture content of an insulating material, and relates to the field of insulating material detection.The method comprises the steps that a to-be-detected transmission terahertz time-domain signal is obtained; the to-be-detected transmission terahertz time-domain signal is a time-domain signal obtained after terahertz waves are emitted to the to-be-detected insulating material and penetrate through the to-be-detected insulating material; converting the to-be-measured transmission terahertz time domain signal into a frequency domain signal to obtain a to-be-measured transmission terahertz frequency domain signal; performing feature extraction on the to-be-measured transmission terahertz time domain signal and the to-be-measured transmission terahertz frequency domain signal to obtain terahertz frequency spectrum features of the to-be-measured insulating material; the terahertz frequency spectrum characteristics comprise a time domain signal peak value difference value and an absorption coefficient integral value; and determining the moisture content of the to-be-detected insulating material according to the terahertz frequency spectrum characteristics of the to-be-detected insulating material and the quantitative curve of the terahertz frequency spectrum characteristics and the moisture, and realizing nondestructive detection of the moisture content of the to-be-detected insulating material.

A method of decoding a received communication signal is provided. The method may comprising converting the received communication signal to the frequency domain to provide frequency domain data. The method may further comprise combining amplitudes of one or more selected frequency components of the frequency domain data, the one or more frequency components being selected according to a predefined communication symbol comprising one or more selected frequency tones corresponding to the one or more selected frequency components. The method may further comprise detecting the predefined communication symbol in the received communication signal depending on the combined amplitudes of the one or more selected frequency components of the frequency domain data.

An apparatus and a method for recovering clock and data from a multilevel pulse amplitude modulated signal received as input signal is suggested. The apparatus comprises a phase detector, a low-pass filter, a voltage-controlled oscillator, and a feedback loop forming a CDR loop. The voltage-controlled oscillator outputs a clock signal that is provided to the phase detector. The phase detector receives an MSB signal from a sampler. The apparatus also comprises an interleave circuit configured to receive the input signal and to generate two output signals having a smaller symbol rate than the input signal. The apparatus further comprises a logical gate configured to receive the output signals from the interleave circuit and to generate an enable signal for the phase detector indicating symmetrical transitions in the input signal. Lastly, the apparatus comprises a converter converting the output signals from the interleave circuit into an MSB and an LSB bit stream.

The invention provides an adjustable power distribution circuit capable of realizing any polarization mode, the adjustable power distribution circuit is positioned between a radio frequency circuit and at least one antenna assembly, the adjustable power distribution circuit comprises an input signal part, at least two signal control parts, a processing unit and at least one orthogonal coupling circuit, the input signal part can convert a radio frequency signal from the radio frequency circuit into a plurality of corresponding input signals and transmit the input signals to each signal control part, each signal control part can convert the input signals into corresponding control signals according to a processing instruction of the processing unit and then transmit the control signals to the orthogonal coupling circuit, and the orthogonal coupling circuit transmits the control signals to the radio frequency circuit. And the orthogonal coupling circuit generates two output signals with a phase difference of 90 degrees, and transmits the output signals to the antenna assembly. Therefore, the adjustable power distribution circuit can enable the antenna assembly to form a linear polarization mode, a circular polarization mode or an elliptical polarization mode in any direction according to actual requirements of products.

The invention provides a direct-current electric energy meter self-calibration method and system. The method comprises the following steps: acquiring an internal high-precision low-temperature drift voltage reference signal; converting the voltage reference signal into an analog calibration voltage signal on a sampling resistor by controlling a direct current standard voltage generation circuit according to the voltage reference signal; converting the voltage reference signal into an analog calibration current signal in a current loop by controlling a DC voltage-current conversion circuit according to the voltage reference signal; obtaining a current environment temperature, and calculating a calibration gain at the current temperature according to a preset temperature coefficient; according to a theoretical calibration value, calculating a voltage gain, a current gain and a power gain of the sampling voltage value and the sampling current value, and writing the gains into a memory; and correcting the reference voltage signal according to the obtained temperature calibration gain, and performing temperature compensation.

A displacement-sensing Doppler radar with ultra-low noise and high sensing resolution is provided. The radar includes N two frequency synthesizers to respectively generate, at different frequencies, a transmitted signal that is radiated toward a target object, and a local oscillator (LO) signal. The radar further includes a mixer and a rectifier to: (1) receive a returned signal from the target object carrying phase delays corresponding to detected displacements of the target object; (2) mix the returned signal and the LO signal to generate a down-converted sine-wave intermediate frequency (IF) signal; and (3) rectify the sine-wave IF signal to a square-wave IF signal, which also carries the displacement-induced phase delays. The radar also includes a phase demodulation module to convert the displacement-induced phase delays into a pulse-modulated signal. The radar further includes a low-pass filter to convert the modulated pulse signal into an output voltage signal indicative of the detected displacements.

The invention belongs to the technical field of electromagnetic protection, and relates to an electromagnetic protection device based on mechanical wave nonlinear attenuation, which comprises a piezoelectric substrate, and a signal input component, a nonlinear attenuation component and a signal output component which are sequentially arranged on the piezoelectric substrate at intervals, the nonlinear attenuation component comprises an energy absorption structure, a deformation structure and a rigid connection structure. The energy absorption structures are made of energy absorption materials and are arranged above the piezoelectric substrate at intervals; the deformation structure is made of a mechanical metamaterial, and two ends of the deformation structure are respectively connected with the energy absorption structure and the piezoelectric substrate; one end of the rigid connection structure is connected with the energy absorption structure, and the other end is spaced from or abutted against the piezoelectric substrate; the signal input component converts electromagnetic wave signals into mechanical waves, the nonlinear attenuation component deforms under propagation of the mechanical waves, the deformation quantity is in direct proportion to the strength of the mechanical waves, and the signal output component converts the mechanical waves into the electromagnetic wave signals and outputs the electromagnetic wave signals. According to the invention, electromagnetic protection can be realized based on mechanical wave nonlinear attenuation.

The invention discloses a cascade module non-intrusive monitoring method and system, and the method comprises the steps: obtaining a voltage signal of a DC bus in a preset time window length, obtaining a voltage fluctuation time domain signal, carrying out the signal conversion of the voltage fluctuation time domain signal through employing fast Fourier transform, carrying out the extraction, obtaining a plurality of main frequency components, and carrying out the extraction of the main frequency components; obtaining capacitance attenuation degree data according to each main frequency component, then judging whether the coupling strength index is related to the capacitance attenuation degree or not according to voltage fluctuation data of adjacent sub-modules of the direct current bus, and if yes, performing feature extraction on fluctuation coupling information by using a prediction neural network to obtain a monitoring feature vector, the optimized non-intrusive monitoring model is obtained through the monitoring feature vector, the optimized non-intrusive monitoring model is used for analyzing the voltage fluctuation data of the direct-current bus, the capacitance attenuation degree is obtained, and the accuracy and reliability of capacitance attenuation monitoring are improved through the method.