50results about How to "Avoid major failures" patented technology

The invention discloses an industrial equipment health monitoring and fault early warning system based on edge computing, belongs to the technical field of edge computing, and aims to solve the technical problem of how to efficiently realize health monitoring and fault early warning of equipment in real time and identify different types of faults. Each edge computing node is used for taking local data as input, predicting a fault category and a probability value corresponding to the fault category through a local model, outputting the fault category and the probability value as a prediction result, encrypting the local data and the prediction result through the cloud edge collaboration module and then sending the local data and the prediction result to the central server layer, the fusion model comprises three fault diagnosis models, namely a first fault model constructed based on LSTM, a second fault analysis model constructed based on a rule expert model and a third fault analysis model constructed based on a physical model; and the central server layer is used for fusing prediction results based on a self-adaptive weight mechanism.

The invention relates to the field of transformer parameter regulation and control, in particular to a parameter optimization method and device for a coupling type transformer. The method comprises the following steps: acquiring multi-dimensional real-time working monitoring parameters and real-time working environment state parameters of the coupling type transformer; performing nonlinear dynamic analysis and global state sensing modeling on the multi-dimensional real-time working monitoring parameters so as to construct a transformer global state sensing model; performing multi-parameter combination definition on the multi-dimensional real-time working monitoring parameters, performing dynamic operation simulation based on a transformer global state sensing model, and collecting operation simulation response data of a plurality of schemes; performing multi-target dynamic balance analysis on the operation simulation response data of the plurality of schemes to obtain an optimal transformer working parameter combination; and carrying out environment dynamic parameter change analysis on the real-time working environment state parameters, and constructing a real-time environment condition distribution field. According to the invention, efficient and self-adaptive adjustment transformer parameter optimization is realized.

The invention provides an on-load tap-changer mechanical state monitoring method and system based on a multi-layer filter. The method comprises the steps of: acquiring vibration signals in a switchingprocess of an on-load tap-changer; performing normalization processing on the vibration signals; performing discrete Fourier transform on the vibration signals subjected to normalization to obtain frequency spectrum distribution of the vibration signals; determining a quality factor according to the frequency spectrum distribution and designing a multi-layer filter; inputting the frequency spectrum distribution to the multi-layer filter to obtain a plurality of sub-band signals to form a sub-band signal matrix; calculating a covariance matrix of the sub-band signal matrix according to columnsand the modulus maximum of the covariance matrix; calculating the statistical magnitude of the modulus maximum and the control limit of the statistical magnitude; judging the mechanical state of theon-load tap-changer according to the statistical magnitude. The method and the system can diagnose the mechanical work state of a tap-changer of a transformer and can detect whether the mechanical state of a tap-changer of a transformer changes effectively and accurately, so that effective measures can be adopted for a tap-changer timely.

The invention discloses a motor stator current spectrum analysis equipment abnormity determination method. The method comprises steps of motor current signal acquisition, abnormity existence monitoring, abnormity type analysis and abnormity severe degree determination. Firstly, a motor current signal is acquired, whether a signal acquisition point is accurate is confirmed, abnormity existence is confirmed and analyzed, acquired signals are filtered, through continuous practice, the magnitude of the motor abnormity passing frequency is found to be relevant to the motor abnormality severe degree. The method is advantaged in that the abnormality severe degree of motor equipment can be rapidly and accurately analyzed online, whether emergent shutdown maintenance is needed can be determined, and the great equipment fault can be prevented in advance.

An elevator installation includes a cage, a counterweight which balances the cage and a supporting and / or drive means at which the cage and the counterweight are suspended. The elevator installation has a sound pick-up designed for detecting solid-borne sound generated at the counterweight.

The invention provides a transformer partial discharge monitoring method based on an ultrahigh frequency technology, and relates to the technical field of partial discharge monitoring, and the method comprises the steps: presetting a monitoring point array, laying an ultrahigh frequency sensor group for dynamic discharge monitoring, and obtaining an ultrahigh frequency signal time sequence array; a multi-dimensional environment signal time sequence array is obtained, filtering compensation is carried out, and a partial discharge signal time sequence array is obtained; carrying out distributed signal analysis to obtain a partial discharge characteristic parameter array; constructing a partial discharge feature tree, and performing correlation matching to obtain a partial discharge reason feature parameter array; calling a partial discharge operation and maintenance strategy library; and traversing and matching to obtain a target partial discharge operation and maintenance strategy set, and carrying out partial discharge early warning operation and maintenance processing. According to the invention, the technical problem of low accuracy and efficiency of partial discharge processing caused by the fact that transformer partial discharge monitoring mostly depends on empirical judgment and manual analysis and lacks systematic diagnosis and automatic processing decision support in the prior art is solved.

The invention provides equipment and a method for monitoring blades of a wind turbine generator set. The equipment comprises a video collecting unit, a background image acquiring unit and an image abnormality detection unit, wherein the video collecting unit collects videos of the blades of the wind turbine generator set to acquire a video image sequence; the background image acquiring unit extracts background images from the acquired video image sequence; and the image abnormality detection unit detects whether the blades in the images in the video image sequence have abnormal image characteristics or not based on the extracted background images.

The invention discloses a five-axis linkage machine tool online diagnosis early warning system and method based on digital twinning. The system comprises a five-axis linkage machine tool numerical control system main control unit, a five-axis linkage machine tool image digital twinning body, a digital twinning learning module and a digital twinning structure module. The method comprises the following steps: S1, acquiring a five-axis linkage machine tool numerical control system main control unit; and S2, judging whether the master control unit of the five-axis linkage machine tool numerical control system breaks down or not through a preset five-axis linkage machine tool image digital twin, and if yes, pushing the early warning information. By introducing a digital twinning technology, fault early warning output is carried out on a five-axis linkage machine tool which possibly breaks down, and early-stage early warning output is achieved according to whether the machine tool breaks down or not according to the current state of the machine tool. According to the scheme, major faults of the machine tool can be avoided, and the overall operation performance of the machine tool is improved.

The invention relates to a reactive power compensation protective device in a power transmission and transformation system, and belongs to the technical field of reactive power compensation in the power transmission and transformation system. The technical scheme is that a plurality of single capacitors (11) are connected in parallel to form string sections of high-voltage parallel capacitor groups; each string section is connected with a discharging coil (12) in parallel; a current unit (16) which contains a current sensor is arranged on each capacitor branch of each single capacitor; a background host processes received current signals of all the current units and received voltage signals of all the discharging coils, and transmits data to a protective module. According to the reactive power compensation protective device in the power transmission and transformation system, the sensitive protection on discharging coil failures and each capacitor can be realized; the most sensitive protection and failure warning on the high-voltage parallel capacitor groups can also be realized earliest; the reuse rate of reaction equipment is improved; the operation reliability of a reactive compensation device is improved; major failures are avoided as far as possible; the protection sensitivity is improved; failure equipment is cut in time; serious failures are avoided.

The invention discloses a method, a system and equipment for detecting abnormal sound of a transformer in a complex environment and a storage medium. The method comprises the following steps: acquiring a sound signal of the transformer in an operation process; preprocessing the collected original sound signal, wherein the preprocessing comprises pre-emphasis, framing, windowing and fast Fourier transform; a filter bank feature extraction technology is adopted to capture frequency distribution and energy change of the sound signals, and Fbank features are generated; a multi-head attention mechanism and a ResNet-SE model are combined to construct a voiceprint recognition model; sound signals of the transformer in the operation process are collected in real time, the collected sound signals are subjected to preprocessing and feature extraction and then input into the voiceprint recognition model, and fault detection and classification of the transformer are carried out through the voiceprint recognition model. The method can solve the problem that the abnormal sound of the transformer is difficult to accurately detect by a traditional method in a complex noise environment, and improves the detection precision and sensitivity.

The invention discloses an intelligent fault diagnosis system and method for a large composite dry separator, and relates to the field of ore dressing machineries. The system comprises a detection module and an analysis and diagnosis module, wherein the detection module is used for detecting the temperatures of a bearing and a motor of the composite dry separator, the amplitude and frequency of the motor, the deformation of a beam and the noise decibel of the separator, and transmitting detection data to the analysis and diagnosis module; and the analysis and diagnosis module is used for analyzing the detection data, judging whether the composite dry separator has a mechanical fault or not, storing a fault waveform, predicting and judging a fault type, issuing a fault suggestion solution and sending alarm information. According to the intelligent fault diagnosis system and method for the composite dry separator, the safe operation of equipment can be guaranteed, accidents are preventedand reduced, the production efficiency is improved, and the economic loss of a coal preparation plant is reduced.

The invention provides a ship machinery health state assessment method and system. The system comprises an initialization information configuration module, a data preprocessing module, a sub-model health value calculation module, a node comprehensive health value calculation module, a health value prediction module, an auxiliary decision-making module, a database module, an initialization information configuration module and a dynamic threshold calculation module. Initialized information configuration, including configuration of channel value signals of data, configuration of each module and the like, is performed before real ship application; ship cabin data is collected in real time, and the ship cabin data is preprocessed and stored; relevant data are extracted to calculate and store sub-model health values; a corresponding sub-model calculation result is extracted, and a node comprehensive health value is calculated; and the future development trend is predicted according to the historical health value of the node, and if the fault is predicted to occur, the auxiliary decision module is automatically triggered to give warning and maintenance suggestions to marine engineers, so that the occurrence of major faults is avoided.

The invention belongs to the technical field of electromechanical equipment, and particularly relates to a model cluster chain system applied to operation and maintenance of electromechanical equipment, which can realize the functions of fault prediction, false alarm reduction, decision assistance and the like, and greatly improves the efficiency and the intelligent degree of operation and maintenance work. The model cluster chain system can adapt to equipment of different manufacturers, new and old degrees, service life and environments, complete coverage of an operation and maintenance model is achieved, and meanwhile the generality and individual management requirements of the equipment are considered through construction of generality, intermediate and specific algorithm models. Unnecessary maintenance work is reduced through intelligent operation and maintenance, the operation and maintenance cost is reduced, meanwhile, major faults can be effectively prevented through a real-time monitoring and fault early warning mechanism, and safety management is enhanced. Through introduction of the operation and maintenance management platform, a whole-process closed loop from data acquisition to work order management is realized, systematicness and coherence of operation and maintenance work are ensured, and the overall operation and maintenance management level is improved.

The invention discloses a DC electric arc furnace reactive power prediction method and system, and relates to the field of data analysis. According to the main scheme, a reactive power predicted value # imgabs9 # is calculated according to the working voltage # imgabs0 #, the working current # imgabs1 #, the power factor # imgabs2 #, the reactive power component 1 # imgabs3 #, the reactive power component 2 # imgabs4 #, the reactive power component 3 # imgabs5 #, the reactive power component 4 # imgabs6 #, the reactive power component 5 # imgabs7 # and the reactive power component 6 # imgabs8 # of the direct-current electric arc furnace. And acquisition of indirect factor data influencing reactive power is not enough, so that the accuracy of reactive power prediction is influenced. Whether the working state of the direct-current electric arc furnace is normal or not is judged according to the reactive power change value # imgabs10 # and the reactive power change threshold value # imgabs11 #, a specific judgment basis is provided for workers, problems can be found in time, and major faults are prevented.

The invention belongs to the technical field of heat exchange, and particularly relates to a control method of a heat exchange system. The control method solves the problem that an existing multi-split air conditioning unit does not inform a user of abnormal information and a processing scheme in time, so that the multi-split air conditioning unit is prone to generating major faults. The heat exchange system comprises a multi-split air conditioning unit, a server and a control terminal. The control method comprises the following steps that operation parameters of the multi-split air conditioning unit are obtained; whether the operation parameters are abnormal or not is judged; if the operation parameters are abnormal, abnormal information is sent to the server; and the server sends the processing scheme for the abnormal information to the control terminal, so that a user can know the abnormal condition of the multi-split air conditioning unit and the processing scheme for the abnormalcondition in time through the control terminal, and the user has the capability of reducing the fault occurrence rate, so that the probability of major faults of the multi-split air conditioning unitis effectively reduced.

The invention relates to a motor shell rusty spot recognition method, device and equipment and a computer readable medium. The method comprises the following steps: acquiring a first motor shell image before a salt spray test and a second motor shell image after the salt spray test; performing image registration on the first motor shell image and the second motor shell image to perform registration on a rusty spot area in the first motor shell image and a rusty spot area in the second motor shell image to obtain an effective motor shell image; performing difference detection on the effective motor shell images before and after the salt spray test, and extracting a newly added rusty spot area based on a difference detection result; constructing a rusty spot recognition model according to the newly added rusty spot area and the corresponding motor shell image; based on the rusty spot recognition model, the rusty spot type of the newly-added rusty spot area is recognized, and the area corresponding to the newly-added rusty spot area is calculated. According to the invention, the problem of low detection efficiency and accuracy caused by manual motor shell rusty spot recognition detection is solved.

The invention provides a preventive maintenance method for an elevator. The preventive maintenance method for the elevator comprises the following steps of firstly, aiming at the load capacity detection of the elevator, installing a bottom plate with a pressure sensor on an inner bottom plate of the elevator, and enabling persons to slowly stand on the bottom plate; displaying the load capacity bythe pressure sensor every time when one person stands on the bottom plate, and until the elevator gives an alarm, recording pressure reading; and carrying an acceleration sensor onto the elevator, testing the acceleration between ascending and floor stopping as well as descending and floor stopping, and completing the acceleration detection. According to the preventive maintenance method for theelevator provided by the invention, load capacity detection, acceleration detection, levelness detection and steel wire rope detection of the elevator can be completed by using a simple method, so that the internal condition of the elevator can be known easily; if an abnormality occurs, the abnormality can be handled quickly, so that major faults in the elevator are avoided; and meanwhile, some common faults of an elevator door are effectively detected and processed through different methods, so that the comprehensive preventive detection is conducted on the elevator.

The invention relates to a parameter configuration method and device based on an industrial control screen and computer equipment. The method comprises the steps of obtaining a to-be-configured data configuration list, and displaying all to-be-configured parameters of the data configuration list on a display interface of an industrial control screen; detecting a configuration instruction triggeredfor the to-be-configured parameter; triggering a working condition simulation running operation according to the configuration instruction; and when it is determined that the operation result of theworking condition simulation operation meets a preset configuration requirement, sending the to-be-configured parameters corresponding to the configuration instruction to each connected to-be-tested unit, so that parameter configuration is performed on each to-be-tested unit according to the to-be-configured parameters. By the adoption of the method, one-key parameter configuration of the to-be-tested unit is achieved, workers do not need to conduct manual configuration on site, the mismatching and mismatching situations caused by errors of manual operation are reduced, manpower and material resources consumed by repeated configuration or modification are reduced, and the parameter configuration efficiency for the large to-be-tested unit is improved.

The invention discloses a multiphase voltage stabilizer for carrying out phase current testing in a slope current mode and belongs to the technical field of multiphase voltage stabilizers. The multiphase voltage stabilizer comprises a multiphase regulator, wherein the multiphase regulator comprises a power stage 100, wherein the power stage 100 comprises a plurality of output phases 102 and a controller 200 used for controlling the power stage 100, and the controller 200 is provided with a self-test unit. The stabilizer is used for identifying the condition that the multiphase regulator cannotwork normally, therefore, the regulator is prevented from suffering from major faults during working, a controller of the multiphase regulator uses a complex method to execute self-checking of the regulator; the abnormal operation condition is detected by checking the available information in the controller, alternatively, the controller may detect a number of fault conditions in which the multiphase regulator may still provide regulation in some cases, but may fail when operating conditions change, or operate the system using a particular operating mode to detect abnormal operating conditions in which the controller may detect many fault conditions.

The invention discloses a metal abrasive particle sensing device based on heterogeneous electromagnetic coils and a metal abrasive particle detection method. The device comprises an excitation coil used for generating an alternating magnetic field, an induction coil used for generating induction voltage and a protective layer used for electromagnetic shielding. Wherein the induction coil is wound at the center of the oil pipeline base body; the excitation coil is wound on the heterogeneous framework wrapping the induction coil; the heterogeneous skeleton is composed of two sub-skeletons which have the same structure and are symmetrically arranged in the direction; the maximum groove walls of the two sub-frameworks are fixedly connected together, and the maximum groove walls fixedly connected together are located in the middle of the heterogeneous framework. The protective layer is composed of a buffer gasket and a metal shielding layer; the metal shielding layers are located at left and right ends of the heterogeneous skeleton; the buffer gasket is arranged between the heterogeneous framework and the metal shielding layer; according to the invention, the uniformly distributed alternating magnetic fields are obtained through the exciting coils with different inner diameters, so that the detection accuracy of the metal abrasive particles is improved, the monitoring of the whole drainage basin of the lubricating oil abrasive particles is realized, and the omission ratio is reduced.

The invention discloses a temperature control system of an aluminum melting furnace, relates to the technical field of temperature control of the aluminum melting furnace, and solves the technical problems that in the prior art, the temperature required by all stages of melting is not analyzed, only the detected temperature is compared with a set value, accurate regulation and control of the temperature are difficult to realize, and the quality of molten aluminum cannot be guaranteed. A data acquisition module acquires temperature data of four walls of an aluminum melting furnace; the data processing module analyzes the actual temperature of the aluminum melting furnace and the temperature threshold range of the aluminum melting furnace in each stage; based on the temperature threshold range of the aluminum melting furnace in each stage, the temperature of the aluminum melting furnace is regulated and controlled in real time in the smelting process, so that the quality of smelted aluminum is improved, and energy is saved; whether the aluminum melting furnace has potential faults or not is analyzed; if yes, the fault level is analyzed, and matched maintenance personnel are assigned for maintenance; if not, the aluminum melting furnace continues to work; and major faults can be prevented, and the risk of interruption in the smelting process is reduced.

The invention provides a lubricating grease pollutant detection device and method. The device comprises a lubricating grease heating and liquefying module and an oil liquid detection chip, the lubricating grease heating and liquefying module comprises a lubricating grease inlet, a resistance wire heating device and a first metal pipe; the lubricating grease inlet is connected with the resistance wire heating device, and the lubricating grease inlet and the resistance wire heating device are both arranged in the first metal pipe and wrapped by the first metal pipe; lubricating grease is heated by the resistance wire heating device through the lubricating grease inlet, so that solid lubricating grease is liquefied; the oil detection chip comprises an oil inlet, a micro-channel, a detection unit and an oil storage tank; the oil inlet is formed below the resistance wire heating device, the detection unit is connected with the oil inlet through a micro-channel, the oil storage tank is connected to the tail end of the micro-channel, a liquefied lubricating grease sample is conveyed to the detection unit through the oil inlet, and the detection unit detects metal particles and moisture in the oil sample; and the detected oil sample flows into the oil storage tank through the micro-channel.

The invention provides a cylinder cover and an engine. A cooling water jacket is arranged in the cylinder cover, and comprises an upper layer water jacket body, a middle layer water jacket body and alower layer water jacket body which are sequentially arranged from top to bottom; the side wall of the cylinder cover is provides with different water inflow holes communicating with the upper layer water jacket body, the middle layer water jacket body and the lower layer water jacket body; and cooling liquid can enter the upper layer water jacket body, the middle layer water jacket body and the lower layer water jacket body through the different water inflow holes to cool different areas of the cylinder cover. According to the cylinder cover and the engine, by arranging a thick fire power plate to meet the high detonation pressure and high load requirement of the cylinder cover, the strength level of the cylinder cover is substantially improved; due to the fact that the side face of the fire power plate is provided with cooling through holes, the three-layer cooling water jacket structure is formed; the bottom plate can be cooled through the middle layer water jacket body and the lower layer water jacket body at the same time, and the cooling capacity of the cylinder cover is enhanced; and the side face of the cylinder cover is provided with an installing hole for installing a detonation pressure sensor, through the detonation pressure sensor, detonation pressure of the engine can be monitored in real time, and a huge fault is prevented from happening.

The invention discloses a reactive power prediction method and system for a DC electric arc furnace, and relates to the field of data analysis. The main scheme is: according to the working voltage, working current, power factor, reactive power component one, reactive power component two, reactive power component three, reactive power component four, reactive power component five and reactive power component six of the DC electric arc furnace, the reactive power prediction value is calculated, and the problem that data collection is mainly concentrated on the most basic electrical parameters, while data collection of some indirect factors affecting reactive power is insufficient, thus affecting the accuracy of reactive power prediction is solved. Whether the working state of the DC electric arc furnace is normal is judged according to the reactive power change value and the reactive power change threshold, which provides a specific judgment basis for the staff, is conducive to timely discovery of problems and prevention of major failures.

The invention discloses a method for judging the abnormality of a motor stator current spectrum analysis device, comprising the following steps: collecting motor current signals, monitoring whether there is abnormality, analyzing the abnormality type, and judging the abnormality severity. First, collect the motor current signal, confirm that the collected signal points are correct, analyze and confirm whether there is a motor abnormality, and filter the collected signal. Through continuous practice, it is found that the frequency amplitude of the motor abnormality is related to the severity of the motor abnormality. The above judgment method can quickly and accurately analyze the abnormal severity of the electrical equipment online, so as to judge whether an emergency shutdown is required for maintenance, so as to prevent major equipment failures in advance.

The application relates to a lubricating oil abrasive particle detection device, which comprises an electromagnetic detection unit, a capacitive detection unit and a shell. The electromagnetic detection unit comprises a diameter-gradually-changing heterogeneous skeleton, a plurality of excitation coils are coaxially sleeved on the heterogeneous skeleton, and an induction coil is coaxially arranged in the heterogeneous skeleton and is suitable for electromagnetic detection of metal abrasive particles. The capacitive detection unit comprises a support skeleton, a plurality of tooth-shaped polar plates are coaxially and staggeredly arranged on the support skeleton, and the capacitive detection unit is suitable for capacitive detection of non-metal abrasive particles. The shell is arranged outside the electromagnetic detection unit and the capacitive detection unit, a long shaft is coaxially and internally arranged through the shell, and the electromagnetic detection unit and the capacitive detection unit are coaxially and sequentially arranged on the long shaft. When the abrasive particles flow through a detection area, the capacitive detection unit can output a signal reflecting dielectric constant disturbance caused by the abrasive particles in real time, and the electromagnetic detection unit can output a signal reflecting the change of induced voltage when the abrasive particles pass through an alternating magnetic field. After joint analysis of the two types of information, the size and material category of different material abrasive particles can be cooperatively recognized.

The present invention discloses an insulation fault monitoring system for outdoor high-voltage circuit breakers, which belongs to the technical field of insulation detection of outdoor high-voltage circuit breakers, and includes a data collection module, an abnormal analysis module, an abnormal reporting module, a multi-level monitoring module, and a parameter correction module; the data collection module collects the current and shell temperature data of the outdoor high-voltage circuit breaker through a sensor, and collects the ambient humidity and light intensity data at the same time, and transmits the collected data into subsequent modules. The present invention discloses an insulation fault monitoring system for outdoor high-voltage circuit breakers, which can realize fault detection, threshold update, and key inspection, avoid the situation where the fault detection accuracy decreases due to insulation aging caused by environmental factors, timely replace the standard fault threshold and supplement the correction fault threshold, and realize the fault detection and processing of the high-voltage circuit breaker through different alarm strategies.

The invention discloses a fault prediction method and system based on an aircraft data envelope diagram, and particularly relates to the field of aircraft fault prediction.The method comprises the steps that a large amount of aircraft flight data is imported as the basis, model building data and fault feature parameters are selected, specific event occurrence conditions are input, parameter data are intercepted according to the specific event occurrence conditions, and fault prediction is conducted; and drawing a data envelope diagram and fitting a baseline function after eliminating interference data, and storing the model. During prediction, the model is selected, to-be-detected data is intercepted and compared with the baseline function to calculate a fault index, the equipment state is judged according to the fault index, potential faults are predicted, and early warning information is generated. The system comprises a data acquisition module, a data interception module, a fusion module, a model creation module and a fault prediction module. The aircraft fault prediction accuracy can be improved, safe operation of the aircraft is guaranteed, the maintenance response time is shortened, the maintenance cost is reduced, and the skill level of maintenance personnel is improved.

The invention discloses a method for determining the output oil volume of an electronically controlled diesel engine under abnormal conditions. The method includes: obtaining the corrected limited oil volume, which includes the following steps: calculating the external characteristic limited oil volume and the limit air-fuel ratio limited oil volume; Calculating a first fuel quantity limiting coefficient according to one or more abnormal conditions; calculating a modified external characteristic limiting fuel quantity; calculating a second fuel quantity limiting coefficient; calculating a corrected limit air-fuel ratio limiting fuel quantity; The smaller value of the limited oil quantity of external characteristics and the modified limit air-fuel ratio limited oil quantity is used as the revised limited oil quantity; the basic cycle oil quantity is calculated; the comparison between the corrected limited oil quantity and the basic cycle oil quantity is obtained The small value is used as the actual output circulating oil volume; and the actual output circulating oil volume is used to adjust the fuel injection of the electronically controlled diesel engine. This method enables automatic repair of the diesel engine, avoiding major failures.