2170results about "Internal-combustion engine testing" patented technology

The present invention discloses a method and device for determining the effectiveness of a diesel generator set fault preventive test. The method comprises obtaining vibration data, temperature data, vibration time series, temperature time series and test data of the diesel generator set; performing denoising and dimensionality reduction processing on the vibration data and temperature data to obtain a fused feature matrix, and inputting it into a fault classification model to obtain the fault type; performing time series alignment on the vibration time series and the temperature time series to obtain time series data, and inputting it into a prediction model to obtain vibration prediction values ​​and temperature prediction values; performing deviation correction on the test data, and inputting the corrected data into a pre-built test prediction model to obtain prediction test conditions; and performing generator fault prevention operations and prevention effectiveness evaluation according to the fault type, vibration prediction value, temperature prediction value and prediction test conditions. The method solves the problem of being unable to accurately perform fault diagnosis and preventive maintenance of diesel generators.

The invention discloses a marine diesel engine vibration fault early warning method based on an improved VMD, and the method comprises the steps: improving the VMD through combining a frost ice algorithm RIME, carrying out the hyper-parameter optimization, carrying out the VMD signal decomposition of an optimized data set based on an optimal combination, and obtaining a plurality of IMF values, so as to reconstruct vibration signal sequence data. Performing time domain and frequency domain feature extraction on the reconstructed vibration signal sequence data to obtain a time domain feature parameter and a frequency domain feature parameter; calculating and acquiring a Pearson coefficient between each feature parameter in the mixed domain feature set and the early warning value, and selecting the feature parameter of which the Pearson coefficient meets a preset Pearson coefficient threshold as an optimized feature parameter; and obtaining a residual error between a predicted root-mean-square value and an actual root-mean-square value based on the optimal BiGRU algorithm model so as to obtain a residual error threshold range under the condition of fault-free operation of the marine diesel engine, building an RIME-VMD-BIGRU model for vibration fault early warning of the marine diesel engine, and realizing automatic prediction of the vibration fault of the marine diesel engine. According to the method, sailors can be reminded of possible faults of the ship, the dependence on expert experience is reduced, and meanwhile, compared with other early warning algorithms, the method has higher diagnosis precision.

The invention relates to the technical field of fault detection, and discloses a diesel generating set fault detection method and system based on deep learning, and the method comprises the steps: obtaining first vibration signal data, and carrying out the time-frequency decomposition, and obtaining a dynamic change feature; de-noising processing is carried out on the dynamic change features to obtain a time-frequency feature sequence; extracting a peak energy distribution data set, and calculating each frequency band entropy value to obtain a frequency band entropy value sequence; classifying the frequency band entropy sequence, determining a random fluctuation reference mode, and separating to obtain an abnormal frequency component; calculating a spectral line spacing and amplitude ratio, obtaining a spectral line feature data set, classifying the spectral line feature data set, and determining a fault classification result; obtaining current second vibration signal data, performing similarity calculation on the current second vibration signal data and a pre-established normal mode library, and outputting a fault feature vector; and verifying the fault feature vector to obtain a final fault detection result. According to the method, closed-loop diagnosis from signal acquisition to fault classification can be realized, and the fault detection precision of the diesel generating set is improved.

The invention provides an engine oil burning diagnosis and maintenance system, and relates to engine oil burning diagnosis. The method comprises a multi-source data acquisition model, a heterogeneous data deep fusion module, a multi-level diagnosis module and a prediction maintenance module. The multi-source data acquisition model is used for acquiring multi-source data in the operation process of an engine in real time through an integrated sensor array, and the multi-source data comprises vibration data, acoustic data, exhaust component data and temperature distribution data; the heterogeneous data deep fusion module is used for performing data conversion on the multi-source data to obtain unified multi-source feature representation; the multi-level diagnosis module is used for performing multi-level diagnosis on the multi-source feature representation to obtain a multi-level diagnosis result; and the prediction maintenance module is used for carrying out maintenance analysis according to the multi-layer diagnosis result to obtain a maintenance decision suggestion containing a predicted life value, a fault evolution path and optimal maintenance time. By means of the scheme, the comprehensiveness and accuracy of engine oil burning diagnosis and maintenance are improved.

The present invention relates to the technical field of railway-locomotive diesel-engine fault diagnosis systems, and particularly relates to a railway-locomotive diesel-engine fault diagnosis system based on a knowledge graph. The system comprises a data collection module, a transmission module, a preprocessing module, an algorithm application module, a storage module and a front-end display module, wherein one end of the data collection module is used for performing signal collection by means of a sensor, and the other end thereof is connected to the preprocessing module by means of the transmission module; the preprocessing module performs diagnosis and positioning on a specific faulty part in combination with a fault classification algorithm of the algorithm application module; and an original signal collected by the data collection module and algorithm diagnosis information are scheduled and stored in the storage module by means of back-end management software, and display interaction materials are then provided for the front-end display module. The present invention retains the previous operation mode of an expert knowledge base in terms of fault diagnosis so as to ensure the basic accuracy of cause analysis, and a neural network intelligent algorithm is introduced to reduce the manual workload and individual difference of people in terms of professionalism.

The invention discloses an internal combustion engine fault diagnosis and defect detection intelligent agent system and a construction method, a large language model can process complex fault modes and variable data input, and the model can more accurately identify fault types and causes of an internal combustion engine through training of a large amount of historical data and expert knowledge. Compared with a traditional method, the method is not limited by a fixed mathematical model and a rule base and can deal with a new fault mode, so that the diagnosis accuracy is improved. Besides, the model generally has a relatively high processing speed, can realize real-time or near-real-time fault diagnosis, is helpful for finding and solving problems in time, and reduces downtime and maintenance cost.

A method for monitoring a rotating machine in order to detect a fault in a bearing, the method including acquiring, from the rotating machine, a vibration signal measured by a vibration sensor; determining a first-order spectrogram by first-order cyclostationary analysis of the vibration signal using a delta transform and spectral standardisation; determining a second-order spectrogram by second-order cyclostationary analysis of the vibration signal using averaged cyclic coherence, a delta transform and spectral standardisation; and detecting a vibration signature of the fault in the bearing on the basis of the first-order spectrogram and the second-order spectrogram.

The invention provides an engine vibration data collection and storage method, medium and system, and belongs to the technical field of engine vibration collection, and the method comprises the steps: collecting vibration data to obtain a vibration original data matrix, decomposing the vibration original data matrix to obtain a vibration preprocessing data matrix and vibration unconventional data, respectively carrying out time domain decomposition and wavelet transformation to obtain a time domain feature data matrix and a frequency domain feature data matrix, carrying out feature extraction and dimension reduction to obtain a dimension reduction conventional feature matrix, and carrying out calculation and analysis to obtain a vibration unconventional feature matrix; calculating the feature correlation, feature contribution degree and feature weight of the dimensionality reduction conventional feature matrix and the vibration unconventional feature matrix, performing feature fusion to obtain a vibration comprehensive feature matrix, outputting the vibration comprehensive feature matrix, and performing parameter adaptive adjustment of the sampling rate and the filtering parameter according to the vibration comprehensive feature matrix to obtain the vibration characteristic matrix. The technical problem that an existing method lacks effective acquisition of some instant irregular and sudden abnormal vibration signals and is easily neglected in the acquisition process is solved.

The invention discloses a digital twin intelligent test run system based on a marine medium-speed diesel engine and a monitoring method, relates to the technical field of monitoring, and is used for solving the problems of degeneration identification lag and low emission early warning precision of an oil injector. The system comprises a multi-source heterogeneous data preprocessing module and a running state intelligent diagnosis module. The multi-dimensional data acquisition module is used for acquiring in-cylinder pressure, crankshaft torsional vibration and transient air-fuel ratio signals to construct multi-dimensional data vectors, and the multi-dimensional data acquisition module is used for analyzing combustion fluctuation characteristics based on an attention mechanism LSTM (Long Short Term Memory) network, identifying early deterioration of an oil injector and outputting an oil injection consistency coefficient and a fault type identifier. The method comprises the steps that according to an oil injection consistency coefficient, electromagnetic valve response delay and combustion parameter correlation are tracked, a degradation trend is predicted, and emission early warning is generated; and according to prediction and early warning results, fuel injection compensation parameters are dynamically adjusted in the digital twinborn model, a recursive least square method is adopted to identify combustion parameters and feed the combustion parameters back to an electric control unit, and self-adaptive optimization and closed-loop control in the test run stage are achieved.

The invention discloses a cylinder pressure virtual measurement method based on a physical information neural network. The method comprises the following steps: acquiring a cylinder cover vibration signal and a cylinder pressure signal of a certain cylinder in a specific time period under different loads; constructing a physical information neural network, taking a cylinder cover vibration signal as an input, and taking a corresponding cylinder pressure signal as an output; determining a transfer function of the cylinder cover system under different loads as a physical constraint, and embedding the physical constraint into the neural network in a form of constructing a loss function; training a physical information neural network by using cylinder cover vibration signals and cylinder pressure signals of the cylinder in specific time periods under different loads, wherein the cylinder cover vibration signals and the cylinder pressure signals under different loads use physical constraints under corresponding loads; and inputting the cylinder cover vibration signal in the specific time period into the trained physical information neural network to obtain a corresponding cylinder pressure signal. The cylinder pressure is predicted through the cylinder cover vibration signal by using the neural network, and the transfer function of the cylinder cover system is introduced, so that the cylinder pressure can be accurately obtained.

The invention belongs to the technical field of mechanical test tool equipment, and particularly relates to an electro-hydraulic speed regulator test testing device. Comprising the steps that a virtual diesel engine model generates a signal and supplies the signal to a rotating speed controller, an alternating current power supply supplies power to a frequency converter to drive a motor to operate, and the rotating speed of the motor is transmitted to an electro-hydraulic speed regulator through a first coupler to drive a main pump in the electro-hydraulic speed regulator to build pressure; a hydraulic bridge circuit in the electro-hydraulic speed regulator acts to drive the output shaft to rotate, the output shaft transmits an output signal back to the virtual diesel engine model through the flywheel, the magnetic powder brake and the angle sensor, and the virtual diesel engine model feeds back the signal to the magnetic powder brake through the brake controller; and the output torque of the electro-hydraulic speed regulator is ensured to meet the operation requirement and is confirmed by the torque sensor. The electro-hydraulic speed regulator test device has the advantages that the electro-hydraulic speed regulator test device is provided with the outer circulation oil way, and the test requirements of various electro-hydraulic speed regulators can be met.

The utility model relates to an experimental device for low-temperature fuel atomization of an engine in a variable environment. The experimental device comprises a high-pressure common-rail injection system, a low-temperature refrigerating system, an electronic control system, an image data acquisition system and an environment test chamber. The low-temperature refrigerating system reduces the temperature of fuel oil in the oil injector through convective heat exchange; the environment test cabin simulates the environment air pressure, temperature and humidity in the cabin according to the actual environment parameters in the cylinder in the engine operation process; and the high-speed camera shooting technology is used for obtaining spray image information of the low-temperature fuel oil in a variable environment for further comprehensive analysis of fuel oil atomization characteristics. According to the utility model, a reliable experiment means is provided for researching the fuel oil atomization condition of the fuel oil in a low-temperature state in a low-temperature environment in the cold start process of the engine, deeply analyzing the influence of a complex environment on the cold start of the engine, and seeking to improve the cold start performance of the engine.

The invention discloses a diesel engine fault diagnosis method, system and device and a medium, and relates to the technical field of diesel engine fault diagnos.The method comprises the steps that vibration signal data of a diesel engine are collected; constructing a fault diagnosis model in parallel based on the improved one-dimensional convolutional neural network; vibration signal data are input into a fault diagnosis model, time domain features and frequency domain features of vibration signals are extracted through a dual-channel convolution layer, the time domain features and the frequency domain features are input into a gating circulation unit layer after passing through a three-layer pooling layer for time sequence modeling, and dynamic change information of the time domain features and the frequency domain features is obtained; key information of dynamic change information is extracted through an attention mechanism layer and fused, the key information passes through a global maximum pooling layer and then is input into a Softmax layer, and a classification result is output to diagnose faults of the diesel engine; according to the method, key information of dynamic change information is extracted by introducing a gating circulation unit and an attention mechanism, and the fault detection precision is improved.

The invention provides a diesel engine lubricating oil system cross-working-condition fault diagnosis method and system based on deep transfer learning. The method comprises the following steps that physical signals of different fault types of a diesel engine lubricating oil system under different loads are collected; segmenting the physical signal by adopting a sliding window method, establishing a fault label for each segment of segmented physical signal based on a fault type, and obtaining an initial data set containing the fault labels; and on the basis of the initial data set and a diesel engine fault diagnosis model combined with deep transfer learning, diesel engine cross-working-condition fault diagnosis is carried out, and a fault diagnosis result is obtained. According to the method, data feature hierarchical fusion is carried out based on the one-dimensional convolutional neural network, feature reconstruction of structured data is realized, and the data feature representation capability is enhanced. And the generalization ability of the fault diagnosis model is improved through model fine tuning, and accurate fault identification under cross-working conditions is realized.

The invention discloses a variable environment fuel oil atomization quality test system and test method. The system comprises a high pressure common rail injection system, a low temperature refrigeration system, an electronic control system, an image data acquisition system and an environment test chamber. The low-temperature refrigerating system reduces the temperature of fuel oil in the oil injector through convective heat exchange; the environment test cabin simulates the environment air pressure, temperature and humidity in the cabin according to the actual environment parameters in the cylinder in the engine operation process; the image data acquisition system acquires spray image information of low-temperature fuel oil in a variable environment and performs image processing, and by actually measuring the circulating oil injection quantity during fuel oil injection, the Sott average diameter is calculated according to different empirical formulas, and the fuel oil atomization characteristics are comprehensively analyzed. The invention provides a reliable experimental means for researching the fuel oil atomization condition of the fuel oil in a low-temperature state in a low-temperature environment in the cold start process of the engine, deeply analyzing the influence of a complex environment on the cold start of the engine, and seeking to improve the cold start performance of the engine.

This invention provides a three-dimensional testing device and method for measuring the fluctuation frequency of liquid films, belonging to the field of gas turbines and internal combustion engines. The method uses a laser generator to emit a continuous laser beam onto the surface of the liquid film, which is reflected. Two photodetectors are arranged in space to receive the laser signals reflected from the fluctuations of the liquid film in different directions. Throughout the fluctuation period, only one or two specific locations on the liquid film surface allow the photodetectors to receive the reflected laser signals. The photodetectors convert the laser signals into electrical signals. Using a computer, a fast Fourier transform is used to convert the electrical signals obtained from the photodetectors into frequency domain signals, thereby obtaining the fluctuation frequency of the liquid film at a single point in each fluctuation direction. This invention can measure the three-dimensional fluctuation frequency of liquid films ejected from nozzles such as centrifugal nozzles, pre-filming nozzles, and direct-fire nozzles. The measurement results can be used to analyze the initial atomization characteristics of the nozzles and guide the optimized design of the nozzles.

The invention provides a hierarchical CCA-based diesel engine multivariate state parameter association analysis method and system. The method comprises the following steps: constructing a multi-dimensional time sequence matrix according to a diesel engine state type and each measuring point state parameter; dividing a multi-dimensional time sequence matrix into a main parameter state matrix and other parameter state matrixes according to whether a measuring point exceeds the limit or not; performing hierarchical decomposition on each measuring point state parameter in the state matrix to obtain a main parameter hierarchical state matrix and other parameter hierarchical state matrixes; carrying out canonical correlation analysis on the main parameter hierarchical state matrix and other parameter hierarchical state matrixes to obtain an optimal projection vector; calculating the maximum correlation according to the main parameter hierarchical state matrix, the other parameter hierarchical state matrix and the optimal projection vector; and taking the measuring points corresponding to other parameter hierarchical state matrixes with the maximum correlation values as associated measuring points. Therefore, fault analysis is carried out based on the accurate associated measuring points in combination with the main measuring point, and the efficiency and accuracy of fault diagnosis are improved.

The invention discloses an engine fault diagnosis method, device and equipment and a storage medium, and relates to the technical field of fault diagnosis. The method comprises the following steps: synchronously acquiring a sound signal and a vibration signal of an engine in a normal operation state, and performing feature extraction on the sound signal and the vibration signal to obtain corresponding target features; the target features comprise time domain features, frequency domain features and time-frequency domain features; determining a statistical index of each target feature through statistical characteristic analysis, and performing feature fusion on all the target features according to a target fusion mode based on the statistical indexes to obtain a fusion index; and an early warning threshold value is determined according to the data statistical characteristics of the fusion index, so that fault monitoring is carried out on the engine by using the early warning threshold value. Fault diagnosis is carried out according to the early warning threshold value determined according to the sound vibration data of the engine in the normal operation state, high dependence on fault samples is avoided, and the comprehensiveness of fault analysis is improved.

The invention relates to the technical field of diesel engines, in particular to a diesel engine state monitoring method, device and system and a vehicle. The method comprises the steps of obtaining current operation condition parameters of a target vehicle, determining a state feature reference value matched with the current operation condition parameters based on a target matching rule, comparing a state feature actual value of the target vehicle with the state feature reference value, and monitoring the health state of an engine according to a comparison result. By adopting the method, the engine system state reference under the current operation condition parameters can be quickly determined through the target matching rule and is compared with the actual state of the engine, so that the engine system state monitoring effect is achieved, the health state of the engine system can be mastered in time, and the product reliability is improved.

The utility model relates to the technical field of air tightness detection, and especially relates to an automobile engine manifold air tightness detection device comprising a clamping assembly; mounting parts are symmetrically arranged on one side of the top end of the test box, supporting shafts are rotationally arranged in inner holes of the mounting parts, an operation table is arranged on the supporting shafts, the clamping assembly is arranged on the operation table, the engine manifold is fixed to the operation table through the pressurizing assembly, and a cavity of the test box is filled with test liquid. The engine manifold completely enters the test liquid during testing; the pressurizing assembly is arranged on the operation table, and the pressurizing assembly is used for filling the engine manifold with gas; the driving assembly is arranged on the test box, and the driving assembly is used for providing rotation power for the supporting shaft to drive the operation table; the operation procedure is simple, and the shape adaptability is high.

The invention provides a method and a device for predicting engine noise of a vehicle. The engine noise separated from the vehicle noise is predicted. The method may include: acquiring engine noise data not including vehicle noise; acquiring vehicle noise data not including engine noise; generating training data by mixing the engine noise data and the vehicle noise data; providing a deep learning model differently constructed for each vehicle through transfer learning based on a pre-training model pre-trained by the training data; and predicting engine noise of each vehicle by using the deep learning model.

This application provides a fault determining method of a reciprocating device and a port control method. The method includes: obtaining target signal data acquired by a sensor located on a component at a predetermined location of a reciprocating device; determining, according to a data type of the target signal data, a target processing mode; processing, according to the target processing mode, the target signal data, to obtain a running status eigenvalue reflecting a running status of the component; and determining, according to the running status eigenvalue, a fault result indicating whether the component is faulty. The present disclosure solves a technical problem that it is unlikely to accurately determine a fault of a reciprocating device in the related art.

The invention relates to the technical field of generator test equipment, and particularly discloses a comprehensive test platform for a generator. The bearing assembly, the hoisting assembly and the testing instrument are installed on the vehicle body, the bearing assembly comprises two bearing arms and a driving mechanism, and weighing sensors are installed on the bearing arms and can be far away from and close to each other; the test instrument can obtain related test data based on weighing data fed back by the weighing sensor. The comprehensive test platform for the generator can move, can automatically complete loading and unloading of the diesel generator, does not need assistance of other equipment, and remarkably reduces the requirements for site conditions; data such as the whole machine weight, the fuel consumption rate and the operation stability can be measured, the test items are rich, and the functions are complete; and the transfer frequency in the comprehensive test process can be effectively reduced. After the test is completed, the diesel generator can be transferred and loaded to another test device, which is efficient and fast; and meanwhile, the method has the technical advantages of good applicability, easiness in implementation, relatively low cost and the like.

The invention relates to an electro-hydraulic speed regulator testing device, and relates to the field of diesel engine speed regulator testing equipment, the electro-hydraulic speed regulator testing device comprises a speed regulator testing table for driving an output shaft of a to-be-tested piece to rotate, the speed regulator testing table is provided with a torque loading motor, and a motor shaft of the torque loading motor is opposite to the to-be-tested piece. A motor shaft of the torque loading motor is oppositely connected with a to-be-tested piece through a torque connecting assembly, the torque loading motor loads the to-be-tested piece, one side of the speed regulator test bench is provided with a control assembly, and the control assembly is in signal connection with the torque loading motor and the to-be-tested piece. The device can shorten the time for assembling the device on a diesel engine to carry out a reliability test so as to save the cost; and corresponding test parameters can be configured according to actual application working conditions, so that the developed durability and reliability test is closer to the actual application working conditions.

A power system for a vehicle comprising: a gas-fuelled power plant, one or more fuel delivery devices 26 for delivering fuel to the power plant, a fuel tank 34 configured to provide gaseous fuel to th

The invention provides an energy management strategy verification platform for a plug-in series hybrid power ship propulsion system. The energy management strategy verification platform comprises a power source module, a power output module, a load simulation module, a transmission module, a sensor measurement module and a control system module, the power source module outputs electric energy through multi-energy cooperation; the power output module generates propelling power according to the electric energy; the load simulation module simulates load characteristics according to the propulsion power; the transmission module is connected with the power source module and the power output module as well as the power output module and the load simulation module; the sensor measurement module collects operation parameters of the verification platform; and the control system module executes an energy management strategy according to the operation parameters and outputs a control instruction. A graphical programming environment is constructed by adopting a modeling code automatic generation system, and a strategy rapid prototype development verification closed loop is formed in combination with a range extender intelligent start-stop control strategy and a multi-mode power generation control strategy.

A method for detecting a source of a misfire for an engine having turbulent jet ignition (TJI) during a service routine is presented. A diagnostic tool is coupled to an engine controller of the TJI engine. An increase in revolutions per minute (RPM) of the TJI engine is commanded. An engine roughness is measured and a baseline engine roughness for the TJI engine while all cylinders are in an active state is established. A first main spark plug is commanded to deactivate. A first test engine roughness of the TJI engine is measured based on the first main spark plug being deactivated. The baseline engine roughness is compared to the first test engine roughness. A determination is made, based on the comparison, whether the first pre-chamber is fouled.

Disclosed are an apparatus for a simulation test of diesel engine fuel spray in an alpine environment and a test method, the apparatus comprising a fuel storage and pretreatment device, a fuel injection system, an optical visualization system, an environment chamber, and a spray pretreatment system. In alpine environmental conditions, the apparatus can achieve high-pressure injection of liquid, separate injected atomized mist into fine droplets and impinge same on a wall surface by means of a multi-droplet generation apparatus and a wall surface apparatus, and observe and record the whole process by means of an optical visualization path. According to the present invention, the problem of difficulty in distinguishing droplets due to the coalescence of spray into a sheet is avoided, the costs of a traditional spray and droplet test solution can be significantly reduced, and the problem of a high level of dependence on a control program in a constant volume vessel solution is solved. According to the present invention, simulation of spray test in an alpine environment is possible, and the test apparatus has a simple structure. Moreover, it is possible to conduct regular research on free spray, multi-droplet wall impingement, spray wall impingement, and development characteristics thereof under conditions such as different altitudes and different temperatures.

The invention relates to a reliability test method and device for an emergency diesel engine of a nuclear power plant and a storage medium, and the test method comprises the following steps: obtaining the operation condition information of the emergency diesel engine, and obtaining the estimated total use time of parts of a connecting rod power assembly of the emergency diesel engine based on the operation condition information; structural information of a connecting rod power assembly of the emergency diesel engine is obtained, a dynamic calculation model of the connecting rod power assembly is constructed based on the structural information and the operation condition information, and the dynamic calculation model is used for simulating operation of the connecting rod power assembly in preset time; obtaining a wear coefficient of the part, and inputting the wear coefficient and the estimated total use duration into the dynamic calculation model to obtain the part wear loss of the connecting rod power assembly and the maximum wear loss of the cylinder sleeve; and determining the reliability of the emergency diesel engine according to the part abrasion loss and the maximum abrasion loss of the cylinder sleeve. The test method can guarantee reliable operation of the emergency diesel engine.

A system for detecting a source of a misfire for a turbulent jet ignition (TJI) engine having a first ignition device disposed in a pre-chamber of a cylinder head and a second ignition device disposed for communication with a main combustion chamber is presented. The system includes a controller that determines engine operating conditions; generates a first spark from the first ignition device at a first time; generates a second spark from the second ignition device at a second time; activates a skipfire mode based on a determination that the engine operating conditions are satisfactory, wherein in the skipfire mode, the controller generates a modified second spark at a modified second time, the modified second time being later than the second time; and determines a misfire event based on sensing ionization of gasses at the main combustion chamber subsequent to firing the first and second ignition devices.