86 results about "Structure Failures" patented technology

The invention discloses a risk determination method and system based on engineering structure failure, relates to the technical field of engineering risk determination, and comprises the steps of establishing an engineering geometric model of an engineering structure by utilizing finite element software, and providing a reliable basis for subsequent assessment of stress concentration coefficients and failure probabilities. And evaluating the fatigue life of the engineering structure according to the stress concentration coefficient, and generating the overall fatigue life of the engineering structure by combining information such as the stress concentration coefficient, the dangerous area type and the fatigue life of the dangerous area. And evaluating the failure probability and the failure criticality of each failure mode, and considering the correlation between the failure modes to obtain an accurate failure probability. The risk value of the engineering structure failure mode is generated based on the fatigue life, the failure probability and the failure criticality, the influence of the fatigue life on the risk of the engineering structure is added, the accuracy and adaptability of risk determination of the engineering structure failure are improved, and safe and stable operation of the engineering structure is ensured.

The invention discloses a floating type offshore wind power supporting structure monitoring system and method. The monitoring system comprises a monitoring device module, a data acquisition system module, a data analysis system module and a threshold early warning system module. For data acquired by a monitoring device, a data cleaning and extracting method is provided. Meanwhile, the types, the number and the arrangement positions of all the sensors needed for monitoring the supporting structure are determined, and follow-up safety monitoring work of the floating type offshore wind turbine generator is facilitated. The developed monitoring system with real-time feedback and early warning functions can avoid the problem of platform structure failure caused by untimely structure maintenance to a great extent, and ensures the operation safety of the structure.

Provided is a fracture preventing design method for a metal structure, the method comprising: establishing a stress field evolution characteristic curve of a metal structure under the action of a force load and determining a strength ratio Ib / σs of a material, calculating stress field characteristic values ω1 and ω2 under the action of a load, and, according to the calculated values, performing fracture design of the metal structure, thus enabling same to satisfy the design requirements for preventing elastic fracture and / or elastic-plastic fracture and / or fully-plastic fracture. The fracture preventing design method for a metal structure can guide structure designers in performing safety design of metal structures so as to improve the structure failure resistance, and involves simple calculations and achieves high applicability.

The invention provides a dual-drive deepwater wellbore integrity failure risk evaluation method, and belongs to the technical field of deepwater drilling safety, and the dual-drive deepwater wellbore integrity failure risk evaluation method comprises the following steps: based on fault tree analysis in a bowknot model, identifying a wellbore integrity failure mode; constructing a differentiated evaluation path according to the failure mode, and quantifying a static equipment failure risk and a dynamic structure failure risk respectively; constructing a wellbore system-level failure probability model through a fault tree and Bayesian network dynamic mapping mechanism; based on event tree analysis, modeling is conducted on the safety barrier state after shaft integrity failure, accident consequences are deduced, and the occurrence probability of the accident consequences is calculated; and outputting the system-level failure probability, the key path contribution degree, the bottom event sensitivity sequence and the accident consequence probability, and solving the technical problem that the system-level failure risk is difficult to accurately predict and dynamically prevent and control because static empirical data and a dynamic mechanical mechanism are separated and cannot be coupled and updated in real time.

The invention relates to the technical field of electric power engineering structure failure assessment, and discloses a reinforced concrete pole icing failure assessment method, system, device and medium, and the method comprises the steps: collecting the initial data of a pole, and assessing the stress distribution and potential crack position of the pole under a specific load based on the data. According to the stress distribution and the crack position, the expansion condition of the concrete crack is determined, and the stress state of the steel bar is analyzed. And based on the stress state, executing preliminary judgment. And establishing a relation model of the critical fracture value and the critical load of the steel bar in combination with the preliminary judgment result, and calculating the probability of overall failure of the electric pole. By analyzing the stress distribution and potential cracks of the electric pole under different loads, the actual stress state of the electric pole can be accurately predicted. Through fitting the joint distribution of the preset loads, the interaction between the loads is considered, and the evaluation precision is improved. The established relation model provides a basis for electric pole failure probability evaluation based on a preliminary judgment result.

The invention provides a motor stator potting structure failure risk assessment and optimization design method. The method comprises the following steps: firstly, establishing a simplified numerical calculation domain based on a potting structure, carrying out grid and time step length independence verification, carrying out parameter sensitivity analysis and experimental measurement, and establishing a high-precision thermal-mechanical coupling numerical calculation model; then, in combination with the simulation result and the temperature change constitutive characteristics of the ultimate strength of the material, a node-level failure risk calculation method is provided, failure risk indexes of different stress forms are obtained, and a weighted comprehensive failure risk evaluation standard is determined according to the contribution degree of the stress forms to failure behaviors; and finally, proposing a parameterized structure optimization scheme according to a dangerous area and a dominant failure mechanism, carrying out quantitative evaluation and optimization on the candidate scheme under a weighted comprehensive failure risk evaluation standard, and determining a final structure optimization scheme. The method has the advantages of closed flow loop and quantifiable indexes, and is suitable for reliability design and life evaluation of the motor encapsulation structure.

The present invention discloses a prefabricated building component quality detection system and method based on BIM technology, belonging to the field of prefabricated buildings. The present invention distributes position weights based on the historical stress damage and construction strength conditions of each position of the corresponding building, performs connection anomaly analysis at each position based on the stress conditions at each position and the deformation of the building components in the corresponding stress direction, and performs component quality analysis based on the deformation conditions at each position, the connection anomaly analysis results and the position weight distribution results. By analyzing historical data, the stress mode, potential damage and the influence weight on the components of the building components at different positions can be identified, thereby comprehensively monitoring the health status of the building structure. Real-time deformation and connection anomaly detection can timely identify structural safety hazards, prevent potential structural failures, and ensure the safety of the building.

The invention discloses a highway-railway dual-purpose bridge track static irregularity reliability analysis method based on a high-order moment method. The method comprises the steps that a real bridge structure finite element model is established; constructing a structure performance function; generating a fitting value of a random variable in the structural performance function according to the measured data; the fitting value of the random variable is converted into the same standard normal space through Rosenblatt inverse transformation, and an estimation point value and a weight value of the fitting value of the random variable are obtained through a Gauss-Hermite quadrature formula; substituting the estimation point value and the weight value of the fitting value of each random variable into the real bridge structure finite element model, and averaging other random variables to obtain a single-variable structure performance function corresponding to each random variable; and solving first four moments according to a four-moment theory, and calculating a structure failure probability and reliability through all the first four moments. According to the scheme, based on the high-order moment method, quantitative analysis of the static irregularity reliability of the rail on the highway-railway dual-purpose bridge is achieved.

The invention discloses an underwater robot depth and course control system, which relates to the technical field of underwater robots, and is characterized in that an equivalent strain energy anomaly index and a local maximum principal stress anomaly index are extracted through a structure-heat-fluid coupled three-dimensional finite element simulation model, and a failure risk prediction model is constructed by using a machine learning model; taking the comprehensive feature vector as input, and outputting a sealing structure failure prediction coefficient as a basis for dynamically adjusting a control strategy; the system limits or optimizes the propeller power, buoyancy adjusting frequency and course angle change rate in real time according to the failure prediction coefficient of the sealing structure so as to reduce the structural load and delay the fatigue process, a prediction model is continuously optimized through an error sample driven incremental learning mode, closed-loop self-learning and self-adaptive evolution of the control system are achieved, and the system reliability is improved. Therefore, the operation safety and the task execution stability of the underwater robot in the complex deep sea environment are improved.

The application provides a chip-scale package interconnection structure failure analysis method and device, comprising: determining the failure external pin corresponding to the failure CSP package interconnection structure according to the current-voltage characteristic curve corresponding to each external pin; collecting and analyzing the time-domain reflection waveform of the failure external pin by using the electro-optical terahertz pulse reflection technology, positioning the target interconnection failure area in the interconnection path where the failure external pin is located according to the amplitude, time delay and waveform distortion characteristics of the reflection pulse; scanning the target interconnection failure area by using the three-dimensional X-ray microscopic imaging technology, and determining the target position of the failure point on the interconnection path where the failure external pin is located and the corresponding structural defects based on the scanning result. The application realizes the non-destructive failure analysis of the CSP package interconnection structure by combining the electro-optical terahertz pulse reflection technology and the three-dimensional X-ray microscopic imaging technology, and improves the failure point fault positioning accuracy and efficiency.

The utility model discloses a railway bridge underwater structure disease intelligent monitoring early warning device relates to monitoring early warning device technical field, and this device includes underwater pier attached type electric climbing support, bridge pier abutment vibration acceleration sensor, bridge integral ballast vibration acceleration sensor, data acquisition system, locomotive vehicle, pier abutment and bridge integral ballast main part, pier abutment is fixedly installed on bored pile foundation. The utility model is combined with the direct scanning of multibeam array sonar and the indirect verification of vibration signal, realizes the accurate identification and quantitative evaluation of underwater structure disease, avoids the limitation of single monitoring mode, constructs the closed loop process of underwater monitoring - data analysis - safety early warning with the automatic running of electric climbing support and the real - time transmission of multi - source data, can discover disease and early warning in time, and effectively prevents the bridge accident caused by underwater structure failure.

The invention discloses a wind power blade subcomponent structure bending torsion loading failure analysis and optimization method, and belongs to the technical field of wind power blade structure mechanical analysis. The analysis method comprises the following steps: establishing a three-dimensional entity finite element model of a wind power blade sub-component, applying pure shimmy, pure torsion and gradient bending-torsion combined load to carry out nonlinear static analysis, extracting critical failure point data, and comparing and analyzing a rear edge buckling waveform, bonding failure migration and contact behavior change, so as to obtain a critical failure point. According to the method, the internal relation of blade rear edge bonding structure failure, buckling waveform and contact behaviors under the bending-torsion coupling working condition is defined, the migration rule of the rear edge failure position along with the torsion angle and the stress distribution difference between the front edge and the rear edge are defined, and the problem that in the prior art, it is difficult to accurately position the blade vulnerable area under bending-torsion coupling is solved; and a mechanical basis is provided for blade structure optimization. The analysis result obtained through the analysis method can be directly used for guiding the anti-bending coupling design of the blade.

The present invention discloses a risk determination method and system based on engineering structure failure, which relates to the technical field of engineering risk determination, including using finite element software to establish an engineering geometric model of the engineering structure, providing a reliable basis for the subsequent evaluation of stress concentration factor and failure probability. The fatigue life of the engineering structure is evaluated according to the stress concentration factor, and the fatigue life of the entire engineering structure is generated by integrating information such as the stress concentration factor, the type of hazardous area, and the fatigue life of the hazardous area. The failure probability and failure hazard of each failure mode are evaluated, and an accurate failure probability is obtained by considering the correlation between the failure modes. The risk value of the failure mode of the engineering structure is generated based on the fatigue life, failure probability and failure hazard, and the influence of fatigue life on the risk of the engineering structure is added, thereby improving the accuracy and adaptability of the risk determination of the engineering structure failure, and ensuring the safe and stable operation of the engineering structure.

The invention relates to the technical field of data processing, in particular to a harmonic reducer flexible gear multi-axial fatigue life prediction method. The method comprises the steps that firstly, discrete processing is conducted on a flexible gear structure of the harmonic reducer, and a splitting unit grid containing state parameters is obtained; based on the state parameters contained in the splitting unit grid, calculating a unit splitting trend function, and constructing an overall energy field evolution function; then, based on the overall energy field evolution function and a structural failure threshold, determining a preliminary predicted life, and correcting the geometric disturbance coefficient to obtain a corrected geometric disturbance coefficient and a corrected overall energy field evolution function; and finally, based on the corrected overall energy field evolution function and the preliminary predicted life, obtaining the final predicted life of the harmonic reducer flexible gear. The technical problems that fatigue life evaluation is not accurate, a crack propagation path is not clear, wear-induced geometric disturbance cannot be fed back dynamically, and coupling expression of local cracking evolution and overall structure failure lacks are solved.

The invention is suitable for the technical field of mechanical fault identification, and provides a visual diagnosis method and system for mechanical faults. According to the invention, visual diagnosis planning is carried out on a plurality of work vulnerable structures; selecting a current diagnosis structure, and planning and controlling a shooting path; extracting a plurality of size area images, and calculating a plurality of horizontal intensity difference values and a plurality of vertical intensity difference values; comparing and selecting area sizes, and calculating a structure roughness index; and carrying out pre-diagnosis analysis, and carrying out fault diagnosis alarm when a critical fault occurs. Diagnostic shooting can be carried out, horizontal intensity difference values and vertical intensity difference values of images of different sizes are calculated according to size area requirements, then a plurality of size selection values are selected, a structure roughness index is calculated, and pre-diagnosis analysis of a structure fault is carried out, so that pre-diagnosis of the fault is realized before the fault occurs; and the problems that the production efficiency is reduced, the product quality fluctuates, the maintenance cost is increased, and the downtime is prolonged are avoided.

The present application relates to a kind of prefabricated foundation pit supporting structure test model device.It is applicable to the physical model test of foundation pit excavation support and supporting structure failure.The technical scheme of the present application is: the device has several vertical fixed in the edge of foundation pit bottom and arranged into row straight piles, the waist and top of straight pile are detachably installed with waist beam and crown beam by fixed buckle, several inclined piles are installed on the waist by force transmission buckle, the bottom end of inclined pile is supported on the bottom of foundation pit, and the top end of inclined pile is supported on the force transmission buckle on waist beam;The force transmission buckle has inverted U type buckle and limiting angle plate, wherein the inverted U type buckle is buckled on the waist beam, and there is a gap between the corresponding inner side wall of inverted U type buckle and the side of waist beam towards foundation pit;The cross section of limiting angle plate is V-shaped, one side plate of limiting angle plate is inserted into the gap between inverted U type buckle and waist beam and is fixed on waist beam by screw II passing through the side wall of inverted U type buckle and the side plate, and the other side plate of limiting angle plate supports the top end of corresponding inclined pile.

The application discloses a cutter head repairing method in a tunneling process of a shield machine, and belongs to the technical field of shield construction, and solves the problems that an existing method does not construct an active stability system for a working face and a soil bin environment, and lacks accurate detection and regulation means for large-scale poses of a cutter head, the method comprising the following steps: dividing a shield soil bin and a working face area into multiple operation layers, layer-by-layer cleaning of the working face and grading fixation of the cutter head, synchronous control of multiple horizontal displacement oil cylinders for adjusting the pose of the cutter head by a hydraulic pump station, taking out broken wires by using a welding auxiliary pulling or a counterbore tapping process, resuming tunneling after completing a main drive pressure maintaining test and cutter head operation verification, and in-situ repairing of the shield machine after a major structural failure such as cutter head falling in a tunneling process, without the need of withdrawing the shield machine from the tunnel or adding a ground vertical shaft, and meanwhile, secondary disturbance to surrounding strata is avoided, thereby providing systematic technical support for safe and continuous pushing of shield construction under complex geological conditions.

The invention relates to the technical field of hydraulic engineering, in particular to a reservoir engineering safety management system and method, and the method comprises the steps: obtaining a fracture tomographic image of a drainage gallery wall through a through-wall ground penetrating radar, and synchronously collecting the infiltration linear displacement dynamic data of a distributed optical fiber sensor; performing space-time alignment on the two types of data, constructing a fracture space topological relation and seepage conduction path model, and generating a defect-seepage coupling map; a coupling atlas analysis module and a space-time convolutional neural network module are used for identifying the sudden change trend of the displacement rate of the infiltration line, and a gallery structure failure early warning signal is triggered; after early warning, a reinforcement work order is automatically generated, the unmanned aerial vehicle is called to carry out a high-definition image rechecking task, a rechecking result is fed back to correct the seepage conduction path model, and dynamic self-correction is achieved. The method has the capabilities of accurate modeling, intelligent early warning and real-time closed-loop regulation and control, and can significantly improve the structural safety management level of reservoir engineering.

A method for detecting a structural fault of an electric motor. The method includes: (i) acquiring a measurement signal of a physical parameter representative of the rotation of the electric motor, (ii) obtaining the high frequency component of the measurement signal, resulting in a corrected signal, (iii) applying a set of band-pass filters to the corrected signal resulting in a set of filtered corrected signals, (iv) determining a stator frequency and a rotor frequency, (v) computing a frequency signature vector, (vi) computing a temporal symptom vector from the frequency signature vector and the set of filtered corrected signals, and (vii) detecting a structural fault of the electric motor from the determined temporal symptom vector and from a classifier model.

The invention discloses a power transformer structure failure calculation method under a high-energy fault and related equipment, and belongs to the technical field of power transformer structure failure calculation. Firstly, a power transformer three-dimensional geometric model is built, and the power transformer three-dimensional geometric model comprises a liquid domain model and a solid domain model; performing mesh generation on the liquid domain model and the solid domain model to obtain a mesh liquid domain model and a mesh solid domain model, then calculating a high-energy arc fault oil pressure load based on the mesh liquid domain model, and obtaining the structural strain of the mesh solid domain model based on the high-energy arc fault oil pressure load; according to the method, the state of the power transformer under the impact of the high-energy arc fault is simulated, the failure behavior of the power transformer is obtained based on the structural strain of the grid solid domain model, finally, the failure behavior of the power transformer is evaluated and analyzed, and the accuracy of structural response evaluation of the power transformer under the high-energy arc fault is improved.

The invention discloses a deep trench capacitor structure failure analysis method and system, and the method comprises the steps: carrying out the grinding of the section of a trench of a DTC device through the combination of voltage contrast and a plane grinding technology, enabling the cross section to become smooth and flat, opening the section of the deep trench, providing an ideal sample surface for the subsequent electron beam absorption current in the deep trench, and improving the detection precision. The nanoprobe is adopted to directly test a current path, and a failure position which cannot be represented in a deep groove device or a material in the prior art in a traditional method can be effectively positioned, so that the failure representation rate is greatly improved, and the problem that the deep defect of the deep groove cannot be positioned in the traditional method is solved.

The invention discloses a fault equivalent design method for an electrode at a bushing voltage-sharing ball and an insulation structure thereof, and the method comprises the following steps: building a fault equivalent model: providing an external voltage-sharing ball which is composed of a first hemisphere and a second hemisphere, forming a counter bore in the first hemisphere, welding an aluminum cylinder on the second hemisphere, and arranging a watchband contact finger, the first hemisphere and the second hemisphere can be buckled outside the sleeve voltage-sharing ball and are connected through the watchband contact fingers and the counter bores; the outer surface of the external voltage-sharing ball is coated with an epoxy resin layer so as to weaken the corona of the external voltage-sharing ball; and fault equivalent model simulation: simulating a suspended potential discharge fault by arranging a suspended electrode on the external voltage-sharing ball, or simulating a water inlet damp fault of the wire outlet device by arranging an insulating special-shaped piece and an insulating cylinder outside the external voltage-sharing ball and injecting polluted water. The device has the advantages of being typical in structure, convenient to install, low in cost, obvious in discharge characteristic and the like, and can be used for fault monitoring, analysis and judgment of ultrahigh-voltage and extra-high-voltage alternating-current and direct-current outgoing line devices.

The invention discloses a concrete life prediction method and system based on ardealite concrete erosion, and belongs to the technical field of concrete structure life prediction, historical erosion data of an environment where a target structure is located are obtained, and the historical erosion data comprise a data sequence of acid concentration, water flow velocity, wet-dry cycle frequency and chloride ion concentration changing along with time; collecting material parameters of the ardealite concrete and performance attenuation coefficients of the ardealite concrete under the action of different erosion factors; constructing a multi-factor coupled life prediction model based on environmental data and material parameters, and dynamically iterating material performance by taking time as a main variable; inputting a service time interval, solving the model and outputting an evolution curve of compressive strength and porosity; setting a structure failure threshold value, judging whether a failure condition is reached or not, and outputting structure predicted failure time; according to the method, the performance evolution law of the phosphogypsum concrete in a complex environment can be effectively simulated, and high-precision and quantifiable life prediction is realized.

The application discloses a truss size optimization design method based on minimum cut set correlation. The method comprises the following steps: establishing a balance matrix of the truss structure, using a zero space method to obtain a minimum cut set database of failure modes; constructing a joint failure model of the database, and then obtaining a failure probability under the consistency of the cut set edge probability space and establishing a reliability constraint optimization model; inputting the material density and length of each rod of the truss structure into the model, and outputting the optimized total weight and the cross-sectional area of each rod after processing, so as to perform size optimization design of the truss structure. The application solves the problems of failure mode combination explosion, insufficient correlation modeling and missing reliability constraints in the reliability analysis of the truss structure, can significantly reduce the complexity of the truss size optimization design, improve the structure failure probability evaluation precision, realize efficient and accurate system reliability evaluation and lightweight design, and has good computability and engineering applicability while ensuring the precision.

The application discloses a kind of multi-source random cause's deep sea pipeline ultimate bearing capacity evaluation method, it is related to deep sea pipeline system technical field, method includes: obtaining the uncertainty factor of deep sea pipeline ultimate bearing capacity evaluation, including the uncertainty factor of composite defect and the uncertainty factor of pipe material size strength;Based on the sample point of the uncertainty factor of composite defect, establish finite element analysis theoretical numerical model and solve, obtain the structure ultimate bearing capacity of each sample point;And the probability characteristic analysis is carried out to structure ultimate bearing capacity, obtains first structure failure probability;Estimate the second structure failure probability under the condition of pipe material size strength uncertainty factor;Based on first structure failure probability and second structure failure probability, calculate the structure failure probability under the coupling action of multi-source random cause.This application solves the problem that the nonlinear high of containing random composite defect deep sea pipeline structure response under the action of external pressure load, uncertainty is strong.

The invention discloses a large-scale urban bridge and tunnel network evaluation method based on quantitative total risk loss, and the method comprises the steps: 1, carrying out the crawling of an open-source geographic platform, obtaining the topological data of a road network, and building a bridge and tunnel network model; 2, simplifying edges and nodes of the bridge and tunnel network model according to road grades and intersection conditions; 3, converting the traffic speed data to obtain daily average traffic volume data; 4, performing conversion on the single structure score data in the detection report to obtain a single structure failure probability; 5, defining spatial inhomogeneous Markov chain simulation structure state evolution; 6, defining a direct and indirect total loss quantification formula considering structural failure, casualties, traffic closed detour and additional carbon emission; and 7, carrying out quantitative evaluation on the long-term annual total risk loss of the large-scale bridge and tunnel network of a certain city. The method overcomes the defect that the current bridge and tunnel network evaluation method only concerns the safety loss and lacks consideration on the function loss, and is suitable for efficient management and maintenance of the large-scale bridge and tunnel network.

The invention discloses a crane work monitoring method and application thereof in crane work early warning, and relates to the technical field of state monitoring. Comprising the steps that a track data chain of a hoisted object in a hoisting area is obtained according to a hoisting instruction, the track data chain is used for representing motion parameters of the hoisted object in the complete process from hoisting to placing, and feature data content of crane running part abnormity and synchronization losing with an operation instruction is recognized based on the track data chain and hoisting operation dynamic variables. According to the method, the track deviation, the component state deviation, the operation instruction difference and the high-frequency vibration characteristics are uniformly fused, the structure fault, the execution mechanism fault, the instruction asynchronous abnormity and the environment disturbance abnormity are distinguished, and the hidden structure damage caused by long-term use can be identified; in addition, multi-factor complex risks caused by operation impact factors can be distinguished, abnormal execution behaviors caused by inconsistency of operation instructions are marked independently, and therefore the accuracy and pertinence of abnormal recognition are ensured.

The present application relates to the technical field of hydraulic engineering, and specifically relates to a reservoir engineering safety management system and method, comprising: obtaining a fissure tomographic image of a drainage gallery wall through a wall-penetrating ground penetrating radar, and synchronously collecting dynamic data of a phreatic line displacement of a distributed optical fiber sensor; performing space-time alignment on the two types of data, constructing a fissure space topology relationship and a seepage conduction path model, and generating a defect-seepage coupling atlas; using a coupling atlas analysis module and a space-time convolutional neural network module to identify the mutation trend of the phreatic line displacement rate, and triggering a gallery structure failure early warning signal; automatically generating a reinforcement work order after early warning, calling a UAV to carry out a high-definition image review task, and feeding back the review result to correct the seepage conduction path model, thereby realizing dynamic self-correction. The present application has the capabilities of precise modeling, intelligent early warning and real-time closed-loop regulation and control, and can significantly improve the structural safety management level of reservoir engineering.

The invention discloses a transformer ascending flanged base structure failure calculation method and related equipment, belongs to the technical field of power systems, and aims to accurately simulate oil pressure change, structural deformation and failure mechanism of extra-high voltage oil charge equipment under arc fault impact. According to the method, through a finite element-smoothed particle fluid dynamic coupling technology, in combination with a fault bubble pulsation behavior and a multi-physics field coupling action mechanism, the limitation of a traditional finite element method in processing large deformation and fracture problems is overcome, mass, momentum and energy conservation in the calculation process is ensured, and the calculation efficiency is improved. Therefore, the simulation precision of the failure behavior of the oil-filled equipment under the extreme fault condition is improved. By analyzing the stress and strain distribution of the key area of the equipment and the material failure behavior, the weak link of the equipment structure is accurately identified, and a theoretical basis and technical support are provided for optimizing the design of the transformer ascending flanged base.

The utility model provides a structure fault diagnosis system of a pump station unit, which comprises an upper semi-circular shell and a lower semi-circular shell, the rear parts of the two semi-circular shells are hinged together, the front parts of the two semi-circular shells are fixed together through a locking mechanism, an air bag assembly is sleeved in the semi-circular shells, the air bag assembly comprises a semi-circular air bag body, an air tap and a communicating pipe, and an inflating mechanism is configured. A semicircular air bag body is respectively sleeved in each semicircular shell, the upper semicircular air bag body and the lower semicircular air bag body are communicated through a communicating pipe, the semicircular air bag body on the upper side is provided with an air nozzle so as to facilitate inflation and deflation operation, sensor modules are uniformly distributed on the inner surface of each semicircular air bag body, and each sensor is respectively connected with a signal input end of a controller. The device can meet the detection requirements of different pipe diameters, is high in flexibility, is convenient to use in various occasions, achieves the quick and convenient installation and disassembly through the design of the semicircular housing and the locking mechanism, and improves the work efficiency.