86 results about "Oil analysis" patented technology

A business model algorithm for maintaining aircraft engines in reliable and safe operating condition without the necessity of performing major engine overhaul in which engine manufacturers' maintenance procedures are enhanced and performed more frequently and supplemented by engine trend analysis, engine oil analysis, engine vibration analysis, borescope inspection and computer algorithm forecasting to identify, repair, and / or replace engine components without necessity of major engine overhaul.

The invention discloses a method for diagnosing a failure of a rotary machine by fusing oil and vibration. The method comprises the following steps of: establishing a vibration characteristic database and a ferrographic characteristic database of the rotary machine respectively; fusing the vibration characteristic database and the ferrographic characteristic database to form a failure database; reducing and fusing the failure database to form a rule base consisting of a plurality of rules; performing rule matching to obtain a decision pre-making information; performing decision remaking for failure prediction by matching the failure database according to the decision pre-making information to obtain re-prediction information; and outputting the re-prediction information. The vibration characteristic database obtained by vibration analysis and the ferrographic characteristic database obtained by oil analysis are comprehensively used for failure diagnosis, so that failure diagnosis accuracy is improved; and in addition, a failure decision is pre-made by failure matching, and the decision pre-making information is matched with the failure database to obtain re-predicted failure diagnosis information, so that the failure diagnosis accuracy is further improved.

The invention discloses an oil analysis method for diagnosing an equipment failure. The method comprises the following steps of: 1) arranging cellulose nitrate filter membranes with different filter pore sizes in turn from large pore size to small pore size and allowing oil to be tested to flow through the cellulose nitrate filter membranes in turn; 2) arranging the cellulose nitrate filter membranes on a glass slide in turn from large pore size to small pore size; 3) dissolving the cellulose nitrate filter membranes with dimethyl formamide aqueous solution to leave wear particles arranged according to a particle size gradient on the glass slide; and 4) shooting and analyzing the wear particles on the glass slide to diagnose the equipment failure. The oil is filtered by using the cellulose nitrate filter membranes with different filter pore sizes and the wear particles on the glass slide are arranged according to different sizes, so that the method contributes to microscope observation and video camera shooting, realizes richer information content, higher definition and higher wear particle dispersion degree on an acquired wear map and contributes to realizing automatic recognition of the wear map and improving the accuracy of failure diagnosis.

The invention discloses a transformer electrical fault gas simulation device, and relates to the field of the transformer fault diagnosis. The device comprises a tank body, a pressure balance releasing device, a temporary storage tank and a tee valve arranged at the top of the tank body; the tee valve is located at the top of the tank body, the tee valve is used for connecting the tank body, the pressure balance releasing device and the temporary storage device or any two of them; an electrode system for applying the electric field is arranged in the tank body, and the electrode layer comprises a high-voltage electrode and a ground electrode. The device can be used for electric fault simulation of the transformer to guarantee that the test process is completely isolated from the atmosphereinterference and the simulation test of different insulation mediums and different electric fields can be performed under the same test environment. The device provides basic reference data for gas dissolved in oil analysis of the novel transformer oil, thereby prejudging whether fault potential is existent when the novel transformer oil transformer is in operation through the gas dissolved in oil analysis technology, and quickly diagnosing the fault reason after the fault occurs.

The invention belongs to the field of electric power safety operation detection apparatus, and more specifically relates to an oil analysis apparatus remote expert diagnosis system base on network, which is characterized in that the product comprises a production expert terminal and a client with remote expert diagnosis function; both of the production expert terminal and the client comprise an oil analysis apparatus, a computer, a video probe, a microphone and a network interface card; both of the network interface cards of the production expert terminal and the client are connected by Internet. The invention improves the level of the after-sale service, and satisfies the timeliness requirement of the client to the after-sale service of the product, and minimizes the unnecessary service frequency of the apparatus producer for the client, and reduces the cost.

The invention discloses an automatic cleaning device for an oil sample ferrography analysis glass test tube, and belongs to the field of oil analysis. The device comprises a test tube clamp unit, a cleaning agent adding unit, a brushing unit, a clear water washing unit, a control unit and a shell, wherein the test tube clamp unit is fixed on a clamp supporting plate, and the clamp supporting plateand the shell are fixed; the cleaning agent adding unit is fixed to a first conduit fixing frame, the first conduit fixing frame and the shell are fixed, a test tube brush is driven by a motor to rotate at a high speed, the inner wall of the test tube is washed by the generated washing force and a cleaning agent, and the test tube is washed by the washing unit, so that the purpose of thoroughly cleaning the test tube is achieved. The automatic cleaning device is simple and safe to operate, automatic cleaning can be realized by designing parameters, the cleaning efficiency is high, quantitative use of the cleaning agent is realized, waste is avoided, and workers are greatly liberated.

Disclosed herein are methods for detecting a water leak in a locomotive engine cooling system comprising numerous components, each being a potential source of leakage of water. The method typically comprises performing at least one inspection providing an indication of a water leak from an engine cooling system of the locomotive. The step of performing at least one inspection may comprise at least one of several steps including performing a visual inspection to determine if water is leaking from a portion of the cooling system external to the engine; performing a visual inspection of exhaust of the engine to detect an indication of water vapor in the exhaust; performing a visual inspection to detect an indication of water leaking into an intake air manifold 30 of the engine; performing an engine oil analysis to detect water in the engine lubricant; reviewing a fault log history for the locomotive; and checking a level of a cooling system sight glass. The method allows for the isolation of potential sources of the water leak from one another so as to prevent false positive leak identification caused by transient water flow between the potential sources. If an engine cylinder assembly is a component identified as a potential source of the water leak during the water pressurization test, the method enables further testing to confirm leakage at such cylinder assembly, before undertaking the costly and time-consuming process of removing the cylinder assembly from the engine. Cylinder assemblies can be tested for leaks by performing an air leak test disclosed herein.

The invention belongs to the technical field of grease analysis, and particularly relates to an infrared detection method for the rapeseed oil quality and application. The infrared detection method comprises the following steps that rapeseed oil samples are collected; physical-chemical testing is performed on the rapeseed oil samples; infrared scanning is performed on the rapeseed oil samples; abnormal sample removal and sample set partition are performed on obtained light absorption values; pretreating is performed; obtained pretreating light absorption values are analyzed and screened to obtain near infrared spectrum characteristic wavelengths; a prediction model of the rapeseed oil quality is established through a stepwise regression method. According to the infrared detection method, the obtained information is visualized and reliable, the characteristic wavelengths of the rapeseed oil quality are determined, the number of the characteristic wavelengths is few, and an analysis method of establishing the model through the characteristic wavelengths is applied to improve the precision of the model. On the condition of the same prediction precision, the prediction speed of the method is high; meanwhile, rapeseed oil analysis established through the method is more comprehensive, and use and popularization are easy.