80 results about "Oil analysis" patented technology

The invention discloses a grinding machine internal part temperature anomaly detection method based on vibration signal analysis, which comprises the following steps that grinding data are collected through sensor deployment, and the sensors comprise a temperature sensor, a vibration sensor, an infrared thermal imaging sensor, a magnetic resistance current sensor and an inductance type particle sensor; carrying out preprocessing and feature extraction on the collected data; model construction and training are carried out based on data of preprocessing and feature extraction; according to the method, the abnormal condition of the temperature of the part is predicted by detecting the vibration signal of the internal part, the content of metal particles in lubricating oil is detected through the oil analysis sensor, and the abrasion degree of the bearing is judged in combination with the vibration signal. And motor current harmonic characteristics are monitored, and overload or rotor imbalance problems are identified.

The invention relates to the technical field of wind power equipment monitoring, and discloses a wind power gear box intelligent fault early warning method and system based on machine learning. The method comprises the steps that multi-source monitoring data such as vibration signals, temperature data and oil analysis data of the wind power gear box are acquired, and multi-scale operation characteristics are extracted through time-frequency conjoint analysis; key fault sensitive features are determined through an adaptive feature selection algorithm, and a dynamic fault feature weight matrix is constructed in combination with a historical fault case library; multi-modal data fusion is adopted to generate an enhanced fault feature set, and modal decomposition is carried out on the enhanced fault feature set to obtain a trend component and a fluctuation component; a fault evolution feature space is constructed by using a deep neural network based on two components, then a fault development mode is identified by using a time sequence mode matching algorithm, and finally a graded early warning signal is generated according to a matching degree with a preset mode, so that fault features can be comprehensively captured, and safe operation of a wind power gear box is ensured.

A method to perform oil in produced water analysis allows measuring the large volume of oil in produced water reliably. In the method, a time-series and physics based machine learning model of a gas oil separation plant is generated, advisory actionable items for maintaining a crude oil quality within a pre-determined threshold are generated based on machine learning model coefficients and outputs of soft sensors, and then the advisory actionable items are presented to a user.

The invention relates to the technical field of lubricating oil analysis, in particular to a method and system for quantitative analysis of a lubricating oil additive. The method comprises the following steps: acquiring base oil data and lubricating oil additive data; performing mixed oil treatment based on the base oil data and the lubricating oil additive data to generate mixed lubricating oil additive data; performing mixed oil concentration detection on the mixed lubricating oil additive data to generate mixed oil concentration detection data; performing chromatographic column selection on the mixed lubricating oil additive data based on the mixed oil concentration detection data to generate chromatographic column selection data; and performing boiling point heating on the chromatographic column selection data to obtain mixed oil boiling point heating data. By optimizing data acquisition, chromatographic separation, component identification and quantitative analysis as well as result analysis and visualization, the accuracy of quantitative analysis of the lubricating oil additive is improved.

The invention discloses a cold rolling oiling device oiling analysis scoring method based on a support vector regression algorithm. The method comprises the following steps: S1, data preprocessing; s2, establishing a model and performing training; s3, model evaluation; and S4, performing oiling scoring by using the model. According to the method, the optimal prediction can be fitted according to the condition of an actual data set, and the method has relatively high modeling and prediction capabilities.

An on-site oil analysis method and system employs a rule-based diagnostic system to generate historical oil condition indicators for an asset used to model future oil condition indicators including probabilistic trajectories of continued oil degradation. Based on a user risk tolerance level, a modeled future oil condition indicator which will result in oil failure is determined. The oil condition indicator which will result in oil failure first and when is detected and provided as an output.

Device (500) for monitoring a lubricating oil in an oil reservoir (540) of a turbomachine (118), wherein the device (500) comprises: a housing part (502) that contains: a case (504); a base plate (506) and a rear panel support (508) which is connected to the housing (504); an oil inlet line (512) extending through the base plate (506), wherein the oil inlet line (512) is provided for flow connection with the oil reservoir (540) of the turbomachine (118); a pump (514) which is fluidly connected to the oil inlet line (512); an oil analysis device (518) which is fluidly connected to the pump (514); and a drain line (520) which is fluidly connected to the oil analysis device (518) and extends through the base plate (506); wherein the drain line (520) is designed to be connected to the oil reservoir (540) of the turbomachine (118) and to supply oil under investigation to the oil reservoir (540) of the turbomachine, wherein the drain line (520) is designed to be fluidically connected to a drain point (580) in the oil reservoir (540) of the turbomachine (118), and wherein the oil inlet line (512) is designed to be fluidly connected to a withdrawal point (582) in the oil reservoir (540) of the turbomachine (118); characterized by the fact that the device (500) further comprises a bracket (510) which is connected to the housing part (502), the bracket (510) being provided for connection to the oil reservoir (540) of the turbomachine (118); and the drain point (580) differs from the extraction point (582), wherein the drain point (580) is located downstream of the extraction point (582) along a flow path of the oil reservoir (540) of the turbomachine (118).

A method, system, medium and product for analyzing oil leakage at an oil-filled cable terminal relate to the field of electrical digital data processing. In implementing this application, the detection system collects the temperature values ​​of each sensor based on the sensor array arranged longitudinally on the inner side of the closed structure of the oil-filled cable terminal, calculates the temperature difference sequence, and extracts the characteristic parameters of the temperature field in the closed structure. The detection system corrects the finite element simulation results in combination with the current ambient temperature and the current load current, and obtains the corresponding relationship between the oil leakage temperature under actual working conditions, thereby accurately reflecting the oil leakage situation under actual working conditions. This oil leakage analysis method based on the corresponding relationship between the temperature field characteristic parameters and the oil leakage temperature under actual working conditions avoids the limitations of traditional detection methods that rely solely on oil level gauges and float switches for detection, improves the perception ability of slow leakage and the accuracy of quantitative analysis, can timely and accurately discover oil leakage hazards, prevent accidents, and improve the accuracy and reliability of oil leakage detection.

The present application provides an oil analyzer, comprising a shell, a sample storage module, a detection chamber, a near-infrared spectrum analysis module, a sampling module and a temperature adjusting module. The shell has a first cavity, when multiple oil samples need to be detected, the multiple samples can be simultaneously accommodated in the first cavity through a sample support and a sample tube, and the first cavity is refrigerated or heated through the temperature adjusting module, so that the first cavity is at the same temperature as the detection chamber. The oil analyzer provided by the present application can perform constant temperature treatment on the samples in advance, so that the temperature of the samples reaches a stable state when the samples are temporarily stored in the first cavity. In this way, when detection is performed, the samples first enter a cuvette through the sampling module, and then the cuvette is moved to the detection chamber through the first telescopic rod. After the samples enter the detection chamber, they no longer need to wait, and the near-infrared spectrum analysis module can directly perform spectrum analysis on the samples, eliminating the waiting time and improving the detection efficiency.

The invention discloses a multifunctional integrated cleaning nozzle for a train tanker and a related use method. The spray head can be connected with a steam tank washing machine and comprises a steam hot air conveying pipe, a liquid conveying pipe, a sealing cover and a monitoring device, the liquid conveying pipe can penetrate through the sealing cover to stretch into the bottom of the tank car so as to suck out liquid in the tank car. The steam and hot air conveying pipe can be connected with the steam steaming and washing device and the hot air drying device and can penetrate through the sealing cover to extend into the tank car so as to introduce steam and hot air into the tank car. The monitoring device is connected with a control panel of the steam tank washer; the monitoring device comprises an oil-in-water analyzer and a gas analyzer; the oil-in-water analyzer is used for analyzing the oil content of liquid in the tank car and feeding back an oil content analysis result to the control panel; the gas analyzer is used for analyzing gas in the tank car and feeding back an analysis result to the control panel; according to the spray head, sealed steam washing is achieved, waste gas emission is reduced, the washing effect is improved, and the working environment is improved.

The application discloses a method for analyzing ferromagnetic abrasive particles by using a PQ instrument, a data processing system and a PQ instrument comprising the same. First, the PQ index of a sample to be measured in a uniform distribution state and a uniform deposition state is respectively tested by using the PQ instrument; then, a deposition-to-averaging ratio is calculated by using the PQ index; then, a calculation correlation coefficient of the PQ index and the ferromagnetic abrasive particle content of the sample is obtained by using the deposition-to-averaging ratio; finally, the ferromagnetic abrasive particle content of the sample is obtained by using a formula. The application can not only make up for the defect that the traditional detection method of the PQ instrument cannot detect the ferromagnetic abrasive particle content, but also can roughly judge the size range of the ferromagnetic abrasive particles in the sample, has higher ferromagnetic abrasive particle content detection precision, has good sensitivity for large-size abrasive particle detection, widens the use and research range of the PQ instrument, and makes the abrasive particle detection method in oil analysis more scientific and diversified.

The invention discloses a thickened oil reservoir fluid property identification method based on formation resistivity correction, and relates to the technical field of reservoir fluid identification, and the method comprises the following steps: obtaining a crude oil viscosity characterization index TPI; performing rock physical experiment oil analysis on the well core to obtain crude oil viscosity mu0 and crude oil density rho0 of a test oil layer; based on the crude oil viscosity characterization index TPI and the crude oil viscosity, establishing a TPI-viscosity relation model; establishing a viscosity and resistivity relation model; determining a resistivity correction coefficient; based on the correction coefficient L, the formation resistivity is determined, and the porosity resistivity chart is updated. According to the method, on the basis of conventional logging information, the logging curve data, geochemical pyrolysis parameters, rock physical experiments and oil testing input and production data are combined, the influence of the physical properties of the thickened oil on the resistivity is researched, the precision of recognizing the thickened oil layer through the resistivity-porosity intersection chart is effectively improved, the technical problem that the thickened oil reservoir is difficult to recognize is solved, and the method is suitable for popularization and application. And the interpretation coincidence rate of the region is improved in actual production application.

The utility model discloses a high-capacity quartz combustion tube for oil product analysis. The high-capacity quartz combustion tube comprises a combustion tube I and a combustion tube II, the sleeve device convenient to disassemble is assembled on the combustion tube I and is used for connection; the pipe cap device is assembled on the sleeve device convenient to disassemble and is used for keeping air pressure balance; according to the device, the first rubber sealing sleeve is detachably installed on the top of the outer surface of the first combustion pipe. Secondly, a second combustion pipe is detachably installed on the inner surface of the first rubber sealing sleeve. And a mounting sleeve is fixed in the combustion pipe II. Meanwhile, a cap pipe body of the pipe cap device is fixedly installed on the top of the second combustion pipe, an air outlet thin pipe is fixed in the cap pipe body, and the outer surface of the air outlet thin pipe is connected to a limiting groove in the installation sleeve in a sleeved mode. Therefore, when the whole device works, gas is exhausted through the gas outlet thin pipe, the limiting groove ensures stable positioning of the gas outlet thin pipe, and the whole structure is convenient to disassemble and clean so as to maintain effective operation of the device.

The invention discloses an online analysis system for lubricating oil for a unit oil station, comprising an oil tank and an analysis system body, a filter box is arranged in the oil tank, a first oil inlet pipeline is connected to the side of the filter box, a socket is arranged on the side of the filter box, a filter plate is inserted in the socket, an arc guide plate is fixed to the inner wall of the oil tank, an arc slide is arranged in the arc guide plate, the filter plate is connected with a slide member, a scraper is arranged in the filter box, an elastic reset component is arranged between the filter box and the arc guide plate, a recovery oil tank is arranged at the bottom of the filter box, the recovery oil tank is connected to a negative pressure device through a soft pipe, a movable pressing plate is arranged in the filter box, a driving motor is arranged at the top of the pressing plate oil tank, a screw is connected to the driving motor, a movable part is arranged on the screw, the movable part is threadedly connected to the screw, the movable part includes a guide plate, and the bottom of the movable part is connected to the movable pressing plate. When the solid particle content in the lubricating oil exceeds the set value, the oil can be automatically filtered and the filter cloth can be cleaned, thereby extending the service life and maintenance time of the filter cloth.

A lubricating oil LIBS analysis and detection method based on an oil liquid film comprises the following steps: spraying micro oil drops on a metal substrate in a single drop manner, exciting the oil liquid film through an LIBS system to generate plasma, and collecting a plasma spectrum and analyzing spectrum data to realize analysis and detection. According to the method, the supply and movement of the aluminum foil are controlled, the operation time sequence of the aluminum foil, the oil drops and the LIBS system is regulated and controlled, the laser-induced plasma emission spectrum of the oil drops on the surface of the aluminum foil is collected, and then the element composition of the oil liquid to be detected is analyzed. According to the method, the oil pretreatment requirement of oil detection is reduced, the number of parameters of oil online detection is increased, and the oil analysis speed is increased.

The invention discloses a petroleum production sample oil layer sampling device and a sampling method, which specifically relate to the technical field of petroleum sampling, and include a sampling barrel, an electromagnetic valve, and a remote control system. The sampling barrel is connected to a first pipeline, a second pipeline, and a third pipeline, and a flow rate sensor is arranged at the connection point. The sampling barrel includes an air outlet and a gravity sensor; the electromagnetic valve is used to control the opening and closing of the pipeline; the first pipeline is used to extract oil from an oil exploration well and send the oil into the sampling barrel; the second pipeline is used to extract oil samples from the sampling barrel and transmit them to an oil analysis platform for analysis; the third pipeline is used to extract oil from the sampling barrel and transmit the oil to a cache barrel for temporary caching, so as to realize automatic sampling of oil production sample oil layers, control the opening and closing of the electromagnetic valve by remote control preset programming, realize the full-process automatic operation of sampling, transmission and caching, and solve the problem of relying on manual labor in the prior art.

The invention discloses a self-adaptive frequency modulation molten salt pump support stabilizing system, which belongs to the technical field of solar photo-thermal power generation, and comprises a support frame, a cross beam and a hydraulic damping mechanism, and is provided with a rigid adjusting system. The system outputs a vibration field coefficient based on rotation frequency, blade frequency, inherent frequency and vibration amplitude through a vibration field analysis module; the oil analysis module outputs an oil state coefficient based on oil viscosity, temperature and moisture; the gas state analysis module outputs a gas state coefficient based on the pipeline length, diameter and gas purity; and the gas content optimization module integrates the coefficients and the initial gas content, and outputs the target gas content through an established gas content optimization model, so that the gas pressure in the hydraulic buffer is dynamically adjusted, and the self-adaptive optimization of the system rigidity is realized. The resonance phenomenon in the operation of the molten salt pump is effectively restrained, and the accuracy and reliability of the vibration reduction effect are improved.

The invention relates to an on-line oil chromatographic analysis device and an insulating oil analysis method based on the on-line oil chromatographic analysis device, relates to the technical field of power equipment monitoring, and can improve the analysis efficiency of oil chromatographic analysis. The device comprises: a device integrated housing; the plurality of functional modules are arranged in the device integrated shell; the plurality of functional modules comprise an oil extractor module, a degassing cavity module, a carrier gas module, a chromatographic column module and a detection unit module; wherein the device integrated shell comprises a first outer surface, a second outer surface and a third outer surface which are provided with different function partitions; at least parts of the oil extractor module, the degassing cavity module and the detection unit module related to oil gas treatment are located in a shell internal area corresponding to the first outer surface; the second outer surface is provided with a plurality of interfaces used for being connected with external equipment; the third outer surface is provided with an electrical control module used for controlling the device to operate.

The invention relates to the technical field of oil quality analysis, in particular to an aviation oil property analysis method and system based on spectral oblique projection. According to the method, when the oblique projection operator is constructed, the limitation of a traditional oblique projection operator is broken through through dynamic multi-component cooperation and self-adaptive residual error separation, key information which is in complex association with properties in the aviation oil spectrum is extracted more accurately, the pertinence and robustness of feature extraction are improved, and the accuracy of feature extraction is improved. Higher-quality input variables are provided for an aviation oil property prediction model, and the method is a core technical support for realizing high-precision aviation oil property analysis.

The invention provides a steam turbine fault symptom identification method based on fuzzy vector mapping and independent element space reconstruction, relates to the field of steam turbine fault diagnosis, and aims to solve the problems that normal working conditions and fault features are difficult to distinguish and the non-linear and non-stationary signal processing capacity is weak in a traditional vibration analysis method, an oil analysis method and an independent element analysis method. The method comprises the following steps: collecting multivariable sensor data of a steam turbine in a normal state for preprocessing; establishing an initial independent element analysis model; a fuzzy observation vector is constructed by using a Gaussian membership function, and the influence of large-amplitude normal fluctuation is weakened; performing dynamic reconstruction in an independent element space through the hybrid matrix, and calculating a residual vector; and constructing a square prediction error statistic based on the residual vector to carry out fault judgment. According to the method, the problem of order and amplitude uncertainty in independent component analysis is effectively solved, the recognition accuracy of the early weak fault of the steam turbine is remarkably improved, and reliable technical guarantee is provided for safe and stable operation of a power system.

The invention relates to a portable insulating oil rapid analysis device and a detection method thereof. The portable insulating oil rapid analysis device comprises a data collector and a controller, the data collector is connected with the controller through the data transmission system; the data collector comprises a shell, a light path system and a signal conversion module, the light path system and the signal conversion module are both arranged in the shell, an insertion hole is formed in the top end of the shell, the insertion hole is communicated with the interior of the shell, a sample bottle filled with a sample is inserted into the light path system through the insertion hole, and a collection button is arranged at the top end of the shell; the light path system is used for acquiring a light signal of a sample in the sample bottle; the detection process comprises the following steps: inserting a sample bottle and obtaining a result; compared with a traditional insulating oil analyzer for a laboratory, the insulating oil analyzer is small in size and convenient to carry; meanwhile, operation is easy and convenient, and the test efficiency is improved.

The invention discloses an oil-filled cable terminal oil leakage analysis method and system, a medium and a product, and relates to the field of electric digital data processing. According to the application, the detection system collects the temperature value of each sensor according to the sensor array longitudinally arranged at the inner side of the oil-filled cable terminal closed structure and calculates the temperature difference sequence so as to extract the temperature field characteristic parameters in the closed structure. And the detection system corrects the finite element simulation result by combining the current environment temperature and the current load current to obtain the corresponding relation of the oil leakage temperature under the actual working condition, so that the oil leakage condition under the actual working condition is accurately reflected. According to the oil leakage analysis method based on the corresponding relation between the temperature field characteristic parameters and the actual working condition oil leakage temperature, the limitation that detection only depends on an oil level gauge and a float switch in a traditional detection method is avoided, the slow leakage sensing capacity and quantitative analysis precision are improved, oil leakage hidden dangers can be accurately found in time, accidents are prevented, and the oil leakage detection efficiency is improved. And the accuracy and the reliability of oil leakage detection are improved.

The invention relates to a malfunction prediction system and a method for construction machines enabling prediction of faults based on the oil analysis values obtained from construction machines, and thus enabling the identification of maintenance needs for the machine.

1. The name of the design product: portable spectrum oil analysis instrument. 2. The use of the design product: an instrument for analyzing impurities in oil using spectrum. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention relates to the technical field of transformer automatic oil extraction, and discloses a transformer automatic oil extraction device which comprises an oil immersed transformer and an oil extraction assembly installed on one side of the bottom of the oil immersed transformer. Through three collecting pipes and a third connecting pipe on the oil extraction assembly, old oil and fresh oil are automatically separated and collected, oil sample pollution is avoided, and the oil extraction efficiency is improved. Accurate oiling test data is ensured, manual intervention is reduced, and the oil extraction efficiency is improved; through a splitter plate, a sealing plate and a spring, automatic sealing of the collecting pipe is achieved, air and impurities are prevented from being mixed in, and it is guaranteed that an oil sample is pure to support secondary detection; the L-shaped mounting plate and the splitter plate are matched to guide oil flow, and the exhaust valve and the pipeline are combined to exhaust air, so that bubbles are prevented from interfering with detection; three-section oil sampling is completed by means of the gravity of oil, extra power is not needed, energy consumption is reduced, the process is simplified, the device is adaptive to multiple scenes, and the accuracy and safety of transformer oil sample detection are comprehensively guaranteed.

The invention discloses an EDS-based aircraft oil system redundant material identification method and application, and relates to the technical field of aircraft oil analysis, and the method comprises the following steps: S1, collecting all material matrix components and surface treatment process components of actual aircraft oil system parts by using an EDS, establishing a part standard component database after the complete technological process; s2, cleaning particle redundant substances obtained by filtering the airplane oil needing to be identified; s3, acquiring component test data of the to-be-identified redundant substances by utilizing EDS, and performing standardized data processing on a test result; and S4, comparing the data in the step S3 with the standard component database in the step S2, and identifying the material of the redundant substances, so that the problems that in the prior art, a method for determining the redundant substances of the oil filter particles is limited by the sizes of the particles, or the determination result is inaccurate, the operation process is complicated, and the detection period is long are solved, and the method is suitable for popularization and application. The method can be applied to evaluation of the internal health state of the aircraft oil system.

The invention discloses a detection device for chemical oil product analysis, and belongs to the technical field of oil product detection, the detection device comprises an analysis detector, the analysis detector is provided with a display screen for operation, the analysis detector is internally provided with a detection cavity, a light shielding plate is slidably connected between the detection cavity and the analysis detector, and the light shielding plate is slidably connected with the analysis detector. According to the detection device for chemical oil product analysis, the driving assembly is arranged to work to vertically move the pushing rod, the pushing rod can push the piston when vertically moving, and the piston can slide in the sample measuring cylinder when being pushed; when the piston slides, an oil product in the sample measuring cylinder can be pushed into the sample vessel, and as the volume of the oil product in the sample measuring cylinder is slightly greater than that of the interior of the sample vessel, the oil product can fully spread the placing cavity when entering the sample vessel, so that the oil product can fully spread the placing cavity conveniently, the operation is convenient, and the detection accuracy is improved.

The invention relates to a method for maintaining a rotating machine in a thermal power generating unit, which comprises the following steps of: acquiring the running full life cycle data of the rotating machine in the thermal power generating unit, including multi-source information such as vibration monitoring, oil analysis, infrared temperature measurement, equipment performance parameter analysis and the like, and performing data fusion on the multi-source information after data preprocessing and normalization; a data set constructed by the method is input into a model constructed by the method, the constructed model is divided into a fault recognition model and an equipment service life prediction model, the constructed model is deployed in a unit intelligent maintenance system after being trained, tested and evaluated, equipment operation data input in real time is subjected to fault analysis and recognition through the fault recognition model, and the service life of the equipment is predicted. The fault type, position and degree can be accurately diagnosed, misdiagnosis and missed diagnosis are reduced, and the running reliability of the unit is improved; and the residual life and the fault risk of the equipment are pre-estimated through the life prediction model, so that scientific maintenance measures are formulated, and the fault risk and the maintenance cost are reduced.

The invention discloses a lubricating oil on-line monitoring and calibrating method based on oil analysis. The method comprises the steps that real-time monitoring is conducted through a sensor; analyzing oil in a laboratory to obtain oil analysis data; associating the corresponding sensor real-time data with the oil analysis data, storing to form an actual historical association database, and predicting to obtain a virtual historical association database; according to a timestamp, combining the actual historical association database with the virtual historical association database to obtain a historical association data total database; and performing relation mining by taking the historical association data general library as a sample set to obtain an effective association rule, and performing calibration operation according to the effective association rule. According to the lubricating oil on-line monitoring and calibrating method based on oil liquid analysis, the data blank period of laboratory analysis is filled through the virtual data model; and meanwhile, by utilizing an association rule mining technology, internal association between real-time data and laboratory data is deeply mined, and calibration is carried out based on the internal association, so that the reliability and the accuracy of online monitoring data are greatly improved.

The invention relates to the technical field of lubricating oil analysis, in particular to a method for judging the precipitation risk of lubricating oil and application. The method comprises the following steps: adding 0.08-1% by mass of water into lubricating oil, heating to 55-65 DEG C at the rotating speed of 550-650r / min, stirring for 8-13 minutes, keeping at 60-80 DEG C, and observing whether floccules appear or not; the lubricating oil comprises a clearing agent, and the clearing agent comprises sulfonate. The method is helpful for rapidly observing the precipitation risk of the lubricating oil, can reduce the time cost of investigation, and is easy to operate.