755 results about "Vibration source" patented technology

The invention discloses a signal reconstruction denoising method for circuit breaker mechanical state evaluation and a storage medium. In order to solve the problems of multi-source signal aliasing and strong noise interference of the double-break vacuum circuit breaker, a technical route combining mechanical transfer function modeling and a double-flow deep network is innovatively adopted. A complex vibration source is analyzed by constructing a signal coupling model, environmental noise is accurately filtered by using a multi-stage noise reduction strategy, and a multi-dimensional state vector is constructed by fusing time-frequency domain features, so that accurate evaluation of the health state of the equipment is realized. Experiments show that the method is remarkably superior to the prior art in signal denoising, feature extraction precision and diagnosis accuracy, and an efficient solution is provided for intelligent operation and maintenance of power equipment.

The invention discloses a pump set vibration monitoring method and system based on distributed sensing. The method comprises the steps that vibration collection signals and real-time working condition parameters of distributed sensing nodes are obtained, multi-node clock synchronization correction is executed, and synchronous vibration data frames are formed; time-frequency feature extraction is carried out on the multi-channel vibration data set, abnormal channels are identified through inter-channel consistency analysis, a local fault correlation frequency band is extracted, and a vibration feature vector is constructed; associating the vibration feature vector with a real-time working condition parameter to form a working condition-feature mapping table, identifying a feature mutation rotating speed point for the feature baseline, adaptively dividing a rotating speed interval to generate an adaptive working condition threshold value, and implementing out-of-limit detection to generate an abnormal trigger identifier; determining a traceability analysis window based on the abnormal trigger identifier, and executing multi-measuring-point coherence calculation and energy attenuation gradient analysis to construct an energy transfer link diagram; and finally, vibration source position positioning is performed to form fault source probability distribution, a fault mode label is matched, pump set vibration monitoring is completed, and quantitative positioning of a fault source is realized.

The invention provides an adjustable damping capsule vibration isolation system based on electrorheological fluid, and belongs to the field of vibration isolation devices.The adjustable damping capsule vibration isolation system comprises a vibration isolation capsule, the vibration isolation capsule is filled with the electrorheological fluid, and the electrorheological fluid comprises solid particles; a pneumatic pump; a conduit; at least part of solid particles in the electrorheological fluid move to the guide pipe under the action of gravity; the pneumatic pump is configured to pump gas into the guide pipe based on the target gas flow so as to convey a target number of solid particles in the guide pipe into the vibration isolation bag body to change the concentration of the solid particles in the electrorheological fluid, and the electrorheological fluid is configured to perform vibration isolation treatment on elastic waves of the vibration source by using an electrorheological effect based on the concentration of the solid particles.

The invention discloses a mechanical arm regulation and control multi-sensor array underground structure detection system and detection method based on reinforcement learning, a vibration source module provides a sweep frequency vibration signal, a multi-sensor array collects a reflected signal, a data processing module receives and processes the reflected signal, and the data processing module receives and processes the reflected signal; the imaging module generates a three-dimensional underground structure image through a wave velocity inversion and reverse time migration imaging technology, the intelligent optimization and adaptive adjustment module adaptively adjusts vibration source signal parameters and sensor array layout through a reinforcement learning algorithm, and the display terminal displays detection data and imaging results in real time and provides parameter optimization suggestions. According to the invention, real-time and automatic adjustment of vibration source signals and sensor layout is realized through an intelligent optimization and adaptive adjustment module constructed through a reinforcement learning algorithm, and a high-resolution underground structure three-dimensional image is generated accordingly. And an efficient and accurate underground structure identification and positioning scheme can be provided.

The invention provides a distributed optical fiber-based vibration source transverse distance determination method and system, and relates to the technical field of optical fiber sensing, and the method comprises the steps: collecting distributed optical fiber vibration signals, extracting features, constructing a multi-resolution scanning region, carrying out the traversal through employing a global optimization algorithm, and calculating the propagation speed of the vibration signals. According to the method, velocity field distribution characteristics based on Gaussian process regression are constructed, velocity field parameters are optimized in combination with a probability sampling optimization method, the transverse distance of a vibration source is accurately determined through discretization space traversal and anisotropy correction, and the precision and reliability of vibration source positioning are improved.

The invention relates to a robot multi-frequency vibration composite suppression method and system based on inertia disturbance analysis. The method comprises the steps of obtaining dynamic operation data in the operation process of a robot; the operation data are input into an inertia disturbance analysis module, and a low-frequency vibration source caused by a mechanical structure and a high-frequency vibration source caused by a driving system can be accurately recognized; a disturbance frequency distribution diagram is generated, according to the distribution diagram, a self-adaptive filtering algorithm is adopted to suppress a high-frequency vibration source, a compensation algorithm based on model prediction control is adopted to suppress a low-frequency vibration source, the two strategies are cooperatively processed to generate a comprehensive control instruction, the advantages of the two algorithms are fully played, and effective composite suppression of multi-frequency vibration is achieved.

The invention provides a capsule vibration isolation system based on nanobubbles, and belongs to the field of vibration isolation devices. The capsule vibration isolation system based on the nanobubbles comprises a vibration isolation capsule, the vibration isolation capsule is filled with buffer liquid and solid particles, the nanobubbles are attached to the surfaces of at least part of the solid particles, and bubble attached particles are formed; wherein the bubble attachment particles are configured to collide under the action of elastic waves of the vibration source, so that nano bubbles on the surfaces of the bubble attachment particles are broken, and the bubble attachment particles generate internal energy based on collision friction and bubble breakage to increase energy dissipation of the elastic waves so as to perform vibration isolation treatment on the elastic waves of the vibration source; and the preparation device is configured to prepare the nano bubbles based on a target generation rate under the control of the far infrared control signal, and input the nano bubbles into the vibration isolation bag body through the lower surface of the vibration isolation bag body so as to change the concentration of the bubble attachment particles in the vibration isolation bag body.

The invention relates to the technical field of laser cladding repair, and provides a positioning and clamping system and method for repairing the surface of a large working roll of a steel mill based on laser cladding, a three-field coupling prediction model of a temperature field, a stress field and a displacement field is established, and a partial least squares regression algorithm is combined with a Kalman filter to realize multi-step prospective prediction. According to the predicted thermal deformation, self-adaptive compensation control is implemented through a three-layer cascade compensation mechanism composed of a hydraulic drive, a piezoelectric ceramic driver and a laser head adjusting mechanism. The system adopts a time domain, frequency domain and time-frequency domain joint analysis method to extract vibration characteristics, vibration types are classified and identified through a support vector machine, and an active-passive hybrid suppression strategy is adopted for different vibration sources. High-precision positioning and stable clamping of the large working roller in the laser cladding repairing process are achieved, and the thickness uniformity and the surface quality of a cladding layer are remarkably improved.

The invention relates to a site micro-vibration attenuation test measuring point determination method and system, belongs to the technical field of vibration test, and solves the problem that vibration test measuring point arrangement depends on vibration source load accuracy or artificial experience in the prior art. The method comprises the following steps: determining a basic measuring point based on a target site parameter, obtaining an actual measurement vibration response, and calculating an actual measurement response transfer ratio; establishing an initial finite element model of the target site, and applying a preset load to the initial finite element model to obtain an initial finite element calculation result; according to the basic measuring points, corresponding model calculation points and predicted vibration responses are extracted, and predicted response transfer ratios are calculated; and performing model parameter updating by using the actually measured response transfer ratio and the predicted response transfer ratio, obtaining a basic finite element model, generating a vibration transfer form curve, obtaining vibration transfer characteristics, and determining the number and the positions of the measuring points. The micro-vibration transmission characteristics are accurately determined without depending on the vibration source load, and the number and the positions of the vibration attenuation test points are reasonably formulated.

The invention provides a self-adaptive pipeline vibration suppression system and method based on multi-mode coupling analysis. The system comprises a sensing module, a vibration analysis module and a control execution module, multiple sensing signals in the vibration process are obtained through measurement of a multi-sensor array, the vibration analysis module comprises a wavelet decomposition feature extraction unit, a prediction network unit and a judgment unit, and the wavelet decomposition feature extraction unit extracts feature data of the multiple sensing signals and sends the feature data to the control execution module; the prediction network unit obtains the probability distribution of various vibration modes according to the characteristic data, the judgment unit determines the dominant vibration frequency according to the probability distribution of various vibration modes, and the fuzzy adaptive unit of the control execution module dynamically distributes the output value of an actuator according to the dominant vibration frequency. And the hybrid execution unit controls the piezoelectric actuator and the magneto-rheological damper to perform hybrid suppression on vibration according to the dynamically distributed output value of the actuator. The system can accurately identify the vibration source, improve the control responsivity, and improve the overall high temperature resistance of the system.

The invention discloses an adaptive control method and system for paying-off tension of a ground wire, particularly relates to the technical field of automatic control, and is used for solving the problem of control misalignment caused by incapability of distinguishing and stripping multi-span coupling vibration interference in an existing tension control method. Firstly, high-frequency fluctuation components are identified by monitoring frequency band energy distribution of tension signals, then state space trajectory similarity and causal network topology of multi-point vibration signals are cooperatively analyzed, and local or global coupling of vibration sources is accurately judged; then, extracting a dominant vibration frequency and a phase difference, and separating a vibration interference component from the original tension signal through a phase compensation adaptive filter according to the dominant vibration frequency and the phase difference; and finally, subtracting the interference component from the original tension to obtain a real tension value for closed-loop adjustment of the output of the tension equipment. Accurate identification and dynamic compensation of vibration interference are achieved, and the control precision of the pay-off tension and the system stability are remarkably improved.

The invention discloses a dynamic calibration device and method for a visual vibration measurement system, the device comprises a dynamic standard vibration source, a calibration target, a laser Doppler interferometer, a data processing unit and a control unit, the dynamic standard vibration source outputs steady state, transient state and random vibration signals, the calibration target is fixed at the vibration output end of the dynamic standard vibration source, and the laser Doppler interferometer is fixed at the vibration output end of the dynamic standard vibration source. An acquisition target is provided for a calibration process; the calibrated visual vibration measurement system collects a dynamic image to obtain a vibration measurement parameter, and the laser Doppler interferometer synchronously obtains a standard vibration dynamic parameter; the data processing unit receives the dynamic vibration measurement parameters and the dynamic standard vibration parameters, and quantifies dynamic amplitude deviation, frequency tracking delay and phase difference; and the control unit generates calibration parameters of the calibrated visual vibration measurement system according to the type of the dynamic error under the condition that the dynamic error exceeds an error threshold value. According to the invention, quantitative evaluation and automatic calibration of the dynamic error can be realized, and the calibration precision and efficiency are improved.

The invention relates to the technical field of rail transit, and discloses a rail transit tunnel surface environment vibration assessment method, system and device and a medium. The method comprises the following steps: constructing a vehicle-rail-fastener dynamic model; calculating a fastener acting force frequency spectrum according to the vehicle-track-fastener dynamic model; constructing a 2.5 D finite element-basic solution solving model of tunnel-surrounding rock; solving the tunnel-surrounding rock 2.5 D finite element-basic solution solving model to obtain basic solution equivalent vibration source intensity; and calculating earth surface vibration according to the fastener acting force frequency spectrum, the basic solution equivalent vibration source intensity and the field layered soil body power transfer matrix model. According to the method, track vibration, tunnel vibration and site vibration are decoupled, the calculation method with the highest calculation efficiency is adopted in each subsystem, the advantages of each modeling method are fully combined, the calculation efficiency is extremely high, the obtained result is more accurate, the cost is low, and therefore the track traffic tunnel surface environment vibration condition is rapidly and accurately evaluated.

The application discloses a damping device and a damping method, which combines a friction generator with a damping component, so that the friction generator outputs an electric signal under the action of an external vibration source, and when the electric signal is transmitted to the damping component, the electric signal can adjust the inherent frequency of the damping component itself, so that the adjusted inherent frequency is different from the vibration frequency provided by the external vibration source, so that the damping component and the external vibration source cannot achieve resonance, thereby achieving the purpose of damping; and since the electric signal is provided by the friction generator, an external excitation power supply is not needed, the dependence on the external excitation power supply is reduced, and passive damping is achieved; in addition, the damping device does not need a complex structure, and only needs to combine the friction generator with the damping component to achieve damping, so that the structural complexity of the damping device is effectively simplified, the manufacturing cost of the damping device is reduced, and the manufacturing efficiency of the damping device is improved.

The invention relates to the technical field of bridge structure engineering, in particular to a new and old bridge joint vibration disturbance control method, which comprises the following steps: S1, arranging a sensor at a new and old bridge joint, and collecting vibration data of the part; according to the method, a multi-source information identification model is constructed by fusing a physical mechanism and deep learning, robust identification of a vibration source and dynamic reconstruction of a transmission path are realized in combination with vibration transmission entropy and Granger causal test, an accurate basis is provided for subsequent vibration reduction scheme design, and an adaptive scheme is screened based on vibration characteristics, so that the accuracy of vibration reduction is improved. A four-dimensional coupling model is constructed through finite element simulation, an improved genetic algorithm is adopted to solve a Pareto optimal solution under the constraint of cooperative work performance of new and old bridges, parameters are selected according to engineering priorities, and cooperative optimization of the vibration reduction effect, structural safety, cost control and durability is achieved. Therefore, the accuracy and engineering applicability of vibration disturbance control at the joint of the new bridge and the old bridge are remarkably improved.

The utility model relates to a brush head and an electric toothbrush, the brush head is configured to be installed on a machine body and comprises a brush head body, a cleaning part and a transmission part, the cleaning part comprises a first brush head and a second brush head, and the second brush head is configured to be pivotable; the transmission part comprises a first transmission piece and a second transmission piece, the first transmission piece and the second transmission piece are connected through a connecting piece, in the extension direction of the first axis, by taking the connecting piece as a boundary, one end of the second transmission piece is configured to be matched with a limiting part correspondingly arranged on the machine body, and the other end of the second transmission piece is configured to be eccentrically matched with the second brush head; the electric toothbrush comprises a machine body, a power shaft and a brush head, the brush head is connected with the machine body through the power shaft, the power shaft is constructed as an external vibration source of the brush head, and a cleaning part of the brush head is constructed to vibrate relative to the machine body. According to the brush head and the electric toothbrush provided by the invention, multi-mode composite motion of reciprocating vibration and reciprocating rotation can be realized, and the cleaning capability on interdental crevices and tooth roots is enhanced.

The invention discloses a rotary machine dynamic balance optimization method based on an attitude performance correlation model, and relates to the technical field of rotary machine dynamic balance optimization. Comprising the following steps: S1, synchronously collecting rotor vibration signals and temperature field data through temperature and vibration sensors, carrying out real-time calibration on structure parameters, substituting a temperature compensation algorithm to calculate interference components, and outputting pure vibration deviation data subjected to temperature compensation; the structural parameters comprise a rotor thermal expansion coefficient, a bearing radial clearance temperature attenuation coefficient and inherent or dynamic characteristic parameters related to material properties, geometric dimensions and connection states of the rotary machinery. The method has the advantages that through deep combination of vibration and temperature, a temperature-frequency spectrum-amplitude three-dimensional coupling traceability matrix is constructed; multi-feature matching is achieved through a fusion algorithm, temperature-dominated vibration sources and mechanical-dominated vibration sources can be clearly distinguished, and the accuracy of the dynamic balance optimization direction is guaranteed.

The invention discloses a multi-source excitation steam turbine generator set vibration transmission path analysis method. A steam turbine generator set vibration source and the type of a transmission path corresponding to the vibration source are divided; determining M alternative vibration source measuring points near each vibration source of the steam turbine generator set, and randomly selecting m optional vibration source measuring points from M; establishing a working condition transmission path analysis equation from m optional vibration source measuring points of the steam turbine generator unit to n target response measuring points on a unit supporting platform; on the basis of a working condition transmission path analysis equation, m optimal vibration source measuring points are preferably selected from the alternative vibration source measuring points M through a multi-target intelligent optimization algorithm; vibration response signals of m preferable vibration source measuring points and n target response measuring points are synchronously collected through a vibration sensor, and a transfer function matrix is solved. The key vibration source path transmission rule of the steam turbine generator set can be completely reflected, and the method has universality.

The invention discloses a system for suppressing vibration in the machining process of a numerical control machine tool and a vibration suppression method. The system comprises a vibration sensing module, a signal processing and decision module, a vibration suppression execution module and a feedback and optimization module. The vibration sensing module monitors vibration information including vibration frequency, vibration amplitude and vibration sources in the machining process of the machine tool in real time and sends the vibration information to the signal processing and decision module; the signal processing and decision-making module performs vibration feature extraction according to the received vibration signal, and generates a reverse suppression signal based on a vibration feature adaptive filtering algorithm or model prediction control; the vibration suppression execution module performs vibration suppression according to the received reverse suppression signal; and the feedback and optimization module detects the residual vibration quantity and the state of the vibration suppression execution module, adjusts the control parameters of the vibration suppression execution module in real time, and forms a self-adaptive vibration suppression closed loop.

According to the switch cabinet vibration signal positioning method and device, the storage medium and the computer equipment provided by the invention, in the operation process of the switch cabinet, the vibration signals generated by the switch cabinet are collected in multiple directions, amplitude detection is carried out after multi-channel time sequence data are formed, and signal segments with potential defects are extracted from the multi-channel time sequence data; further generating a vibration event data packet corresponding to each vibration signal so as to carry out targeted analysis; as the convolution iteration filtering algorithm has better anti-noise capability and higher time resolution, the method can be adopted to extract the signal first arrival time of each vibration event data packet more accurately; and directly performing time difference analysis on the first arrival time of each signal by using the mathematical relationship between the time difference and the vibration source point position established in the finite difference time domain simulation model to obtain the defect vibration source point position of the switch cabinet, so that large-scale disassembly or complex measurement of the switch cabinet is not needed, and the time difference analysis efficiency is improved. Therefore, the position of the defect vibration source point can be accurately determined.

The utility model provides an adjustable rotating hinge water seal device which comprises a water seal seat, a rotating hinge body is arranged on the water seal seat, and the rotating hinge body is rotatably connected with the water seal seat through a hinge shaft. The rotating hinge body is of an integral structure of the water seal support, and an arc-shaped structure suitable for water seal steering is arranged at the end of the rotating hinge body. A spring pre-tightening mechanism is arranged between the top end of the rotating hinge body and the water seal base and used for providing pre-tightening force for the rotating hinge body. A water seal rubber and a water seal pressing plate are arranged between the other end of the rotating hinge body and the gate panel, and the water seal pressing plate, the water seal rubber and the rotating hinge body are fixed through bolts and nuts. The adjustable rotating hinge water seal device is installed on a lintel of a gate groove and makes contact with a gate panel to form a sealing body, the reliable water sealing effect is achieved, the water jetting phenomenon in the gate opening and closing operation process is avoided, a vibration source enabling a gate to vibrate is reduced, the operation environment of equipment is improved, and the service life of the equipment is prolonged. And the reliability and the safety of equipment operation are improved.

The invention discloses a multi-scene distributed optical fiber acoustic sensing vibration data fusion early warning platform, and relates to the technical field of scene vibration early warning. A vibration analysis and sorting module analyzes collected vibration signals by using a multi-source data fusion algorithm, identifies and classifies the characteristics of vibration sources, automatically performs priority sorting on the vibration sources, and performs early warning on the vibration sources; an area with potential threats is selected for secondary analysis and real-time monitoring; and the strategy generation and early warning module automatically predicts the risk level of each region of the subway according to the vibration source identification and analysis result, and formulates a coping strategy based on the priority and the risk level. According to the early warning platform, through multi-sensor data fusion and an intelligent priority ranking mechanism, the precision and timeliness of vibration monitoring are remarkably improved, and real-time dynamic early warning and intelligent resource management are realized, so that efficient and safe operation of a subway system is ensured.

The invention relates to the technical field of electric connector weak light assembly vibration compensation alignment methods, particularly discloses an electric connector weak light assembly vibration compensation alignment method, and aims to solve the problems of low electric connector assembly positioning precision and high pseudo soldering rate caused by vibration in a weak light environment. The method comprises the following steps: monitoring the thermal radiation change of a vibration source in real time through an infrared thermal imaging sensor, and pre-judging a vibration acceleration vector in combination with a lightweight long-short-term memory neural network; synchronously triggering dual polarization angle imaging to respectively capture a housing reference mark and an enhanced terminal metal feature; the vibration data and the polarization image flow are fused in the field programmable gate array, a self-adaptive optical flow algorithm is adopted to resolve the displacement compensation amount, and a piezoelectric ceramic actuator is driven to carry out submicron order reverse displacement compensation; when the compensation amount exceeds a threshold value, a low-delay correction instruction is sent to the robot through an Ethernet control automation technology bus, and the steady-state error is ensured to be smaller than 0.3 micrometer by combining a strain gauge fine tuning feedback loop. According to the technical scheme, the assembling precision, efficiency and production line adaptability are remarkably improved.

The invention discloses a distributed optical fiber vibration positioning system and method for a three-dimensional complex structure, and the system comprises an optical fiber laying module, a signal collection module, a wavefront reconstruction algorithm module and a three-dimensional positioning module, and the signal collection module is connected with the input end of an optical fiber in the optical fiber laying module and the input end of the wavefront reconstruction algorithm module. The output end of the wavefront reconstruction algorithm module is connected with the three-dimensional positioning module, and precise three-dimensional coordinate positioning and type recognition of the vibration source are achieved through the three-dimensional positioning module. According to the invention, accurate three-dimensional coordinate positioning and rapid type identification of the vibration source are realized, the monitoring coverage rate of the system in complicated structures such as bifurcation, bending and the like is improved, technical support is provided for safe operation and maintenance of key infrastructures, and the method is suitable for popularization and application. The problems that in an existing distributed optical fiber vibration monitoring technology, one-dimensional positioning is limited, the adaptability of a complex structure is poor, vibration sources are difficult to recognize, and the anti-interference capacity is weak are solved.

The utility model discloses a noise reduction structure, a vibration assembly and a vehicle, and the noise reduction structure is used for being attached to the surface of a housing of a component with vibration excitation and comprises multiple layers of metal sheets; the number of the damping layers is multiple, and the multiple damping layers and the multiple metal sheets are arranged in a stacked mode. According to the noise reduction structure, the plurality of metal sheets and the plurality of damping layers are arranged and attached to the surface of the component with vibration excitation, so that the metal sheets and the damping layers are combined, the noise reduction structure has sound absorption, sound insulation and vibration reduction performance, and the effect of reducing radiation noise of the shell can be achieved; and the original part structure and material with a vibration source do not need to be changed.

The invention discloses a DAS high-precision positioning method, system and device based on deep learning, and a medium, belongs to the technical field of optical fiber sensing, and aims to solve the technical problem of low positioning precision when an existing DAS optical fiber sensing array performs vibration source positioning in complex environments with environmental noise, multipath effect and the like. The method comprises the following steps: arranging optical fibers on the ground, and acquiring vibration signals at different positions by using a distributed optical fiber sound wave sensing system to obtain a two-dimensional space-time signal sample; carrying out time delay estimation by utilizing a self-adaptive short-time energy method based on a signal-to-noise ratio, and eliminating an abnormal time delay value through a multi-sample joint method; in order to reduce the data acquisition cost, a time delay data set is constructed by simulating a time delay array at a known position and combining a small amount of measured data; a time delay data set is adopted to train the constructed vibration source signal positioning prediction network; and efficient and accurate vibration source positioning is realized.

The invention relates to the technical field of dynamic analysis and predictive control of hydraulic machinery, and discloses a method, a device, equipment and a medium for positioning a hydraulic interference source of a pumped storage power station, and the method comprises the steps: constructing a non-uniform density monitoring network of the pumped storage power station; generating a spatial frequency domain matrix of the characteristic frequency band based on the non-uniform density monitoring network, wherein the spatial frequency domain matrix comprises amplitude distribution and phase distribution; based on the phase distribution, a preset inversion algorithm is adopted to solve an interference source space positioning result; and calculating a turbulent energy contribution rate based on the interference source space positioning result and the amplitude distribution, and performing pumped storage power station vortex system energy risk assessment based on the turbulent energy contribution rate. According to the method, the three-dimensional coordinate accurate locking of the hydraulic interference source is realized, the turbulent energy contribution rate is calculated based on the interference source positioning result and the amplitude distribution, the pumped storage power station vortex system energy risk assessment is realized, and the sub-meter positioning and high-risk early warning capabilities are provided for the hydraulic vibration source of the one-pipe multi-machine system of the pumped storage power station.

The invention discloses a vibration test and state monitoring method and system for an in-operation high-voltage circuit breaker, and the method comprises the steps: carrying out the energy propagation time sequence test of a multi-measurement-point vibration signal, constructing an energy flow direction topological graph, and precisely positioning a vibration source region through energy ratio analysis and path backtracking; acquiring a response time constant by adopting an impact response attenuation test, and converting a vibration source into a fault space positioning coordinate through space grid division and rate matching; a frequency-space mapping relation is established based on a fault position, and vibration characteristics are comprehensively described through peak frequency time sequence tracking and nonlinear component identification such as frequency multiplication, modulation and transient state; performing dispersion analysis on the continuous action impact peak value to form an action consistency deviation, and fusing a nonlinear feature set to quantitatively evaluate the mechanical degradation degree; the grading test density is generated according to the degradation state, the time period test unit is determined, the state grading test benchmark is established to realize mechanical state grade judgment, and the equipment operation reliability and the monitoring efficiency are improved.

The invention relates to the technical field of energy collection systems, and discloses a combined low-frequency vibration energy collector which comprises a lower-layer structure and an upper-layer structure which are combined to form an upper-layer and lower-layer coupled structure. The lower layer structure is an arc-shaped flexible beam, and the arc-shaped flexible beam is used for collecting piezoelectric energy generated by bending deformation; the upper layer structure is a T-shaped cantilever beam, the T-shaped cantilever beam is used for responding to bending modes in different directions and realizing multi-point energy collection, and the energy collection efficiency is improved by introducing mass load to regulate and control structural dynamic behaviors; the first end of the arc-shaped flexible beam is used for being fixed to the edge of a base to conduct energy conversion, the second end of the arc-shaped flexible beam supports the upper layer structure through the first mass block and is combined to form an integrally-connected composite vibration system used for transmitting inertial response, and the first mass block is used for adjusting the inherent frequency to be matched with a low-frequency vibration source.

The invention relates to the technical field of transformer substation monitoring, and discloses an intelligent remote control platform and real-time monitoring control method for an unattended transformer substation, and the method comprises the steps: building a vibration footprint circular ring, collecting a vibration acceleration signal, and carrying out the positioning and contribution degree calculation of a vibration source; constructing a vibration propagation attenuation model, executing multi-stage vibration shadow stripping, and generating an equipment vibration feature vector and a time-varying matrix; establishing a dynamic energy distribution map to identify weak faults, predicting fault trends, constructing an equipment health state prediction matrix, executing an intelligent load regulation strategy, and generating a system optimization control instruction sequence; according to the method, the problem of feature separation under mutual coupling interference of multi-equipment vibration signals is solved, particularly under the condition of a low signal-to-noise ratio, weak fault features of the equipment are accurately recognized through time domain and space dual decoupling, potential faults are found in advance, the precision and timeliness of preventive maintenance are improved, and the method is suitable for popularization and application. And a powerful guarantee is provided for safe and stable operation of the unattended substation.