35results about How to "Suitable for online monitoring" patented technology

The invention relates to the technical field of wind power generation, in particular to a wind turbine generator set drive system fault early-warning method. A temperature signal and an acceleration magnitude of key parts of the wind turbine generator set drive system are utilized to monitor the drive system of the wind turbine generator set. The method includes the steps of firstly acquiring practical temperature values T(t) of all measurement points and the vibration acceleration value a(t) of the drive system, then calculating the kurtosis index value of the vibration acceleration and the average temperature value of the wind turbine generator set, comparing the obtained parameters with the preset threshold values, giving an alarm when the parameter exceeds the threshold value, and determining the health condition of the wind turbine generator set drive system by comparing the temperature and the kurtosis index value with the threshold values. The method can improve the fault early-warning accuracy rate, has promotion effects on shutdown protection and fault early-warning of the wind turbine generator set and can reduce shutdown time caused by fault judgment.

The invention discloses a method and device for detecting chlorophyll of a coastal zone water body in situ through a double optical path method. According to the method, the concentration of chlorophyll alpha is detected on line on the basis of a fluorescence method detection principle by directly measuring the fluorescence intensity; the device is composed of a light source module, a measuring module, a reference module and a signal processing module. Under excitation of an LED light source, the intensity of fluorescence emitted by the chlorophyll is measured, and the chlorophyll concentration of the coastal zone water body to be detected is calculated through a linearly dependent coefficient calculated by a system model and a compensation value for correcting yellow matter CDOM. The device can quickly detect the concentration of the chlorophyll in the water body on site in real time in a large area and is small in weight and size, convenient to carry, high in accuracy and sensitivity, easy to operate, low in cost and capable of being applied to multiple detection fields.

The invention discloses an on-line monitoring method for large-scale wind power tower drum structure stress and belongs to the field of structure health monitoring. Since wind power tower drums are large in size and are located in harsh environment, traditional methods for measuring structure stress with strain gages require more strain gages, and the strain gages are not suitable for use in wind power tower drum structure stress monitoring methods due to the fact that the strain gages cannot be located in harsh environment for a long time. According to the on-line monitoring method for large-scale wind power tower drum structure stress, on the basis of the shaking characteristic of a wind power tower drum, shaking is divided into a shaking balance position and shaking amplitude around the balance position, the shaking balance position and the shaking amplitude correspond to mean stress and stress amplitude in alternating stress respectively, and a relationship between shaking and stress is established, so that structure stress of the wind power tower drum can be reflected by monitoring shaking of the wind power tower drum, and the problem that methods for measuring stress with strain gages are limited by structure sizes and work environment of wind power tower drums is solved. Besides, the on-line monitoring method is convenient, practical, and applicable to on-line stress monitoring of large-scale wind power tower drum structures.

The invention relates to an on-line detecting method for delaying the coking of a furnace tube in a radiation chamber of a coking heating furnace, belonging to the technical field of automatic control of heating furnaces. The method is characterized in that the furnace tube is segmented according to the tube wall temperature measuring position and the water injection position of the heating furnace; process variables which are actually measured are collected, the total heat transmission resistance and the convection heat transmission resistance in different positions of the furnace tube of the heating furnace are obtained by on-line computation through process calculation and mathematical models such as heat transmission, reaction, and the like in the furnace tube of the heating furnace, and then, the coking thicknesses of the furnace tube in different positions are determined. The observed coking result can provide reference for production operation and decoking so as to improve the security and the economical efficiency in the process of the operation of devices. On the basis of the method, the relationship between the coking rate and each operating parameter of the furnace tube can be researched, the coking rate can be forecast, and reasonable controlling and optimizing methods are designed to delay the coking of the furnace tube.

The invention provides an electromagnetic tomography nondestructive inspection device for severe fault of a rail and a method thereof. The inspection device comprises an L-shaped array sensor, an electromagnetic tomography nondestructive inspection case, a fault detection monitoring and recording computer and a fault detection monitoring liquid crystal panel, wherein the electromagnetic tomography nondestructive inspection case comprises a power driving circuit, an excitation direction control circuit, an excitation current distribution VCCS array, an excitation signal distribution amplification circuit, an orthogonal program control two-channel DDS excitation signal generator, a bus, a system power supply, an FPGA synchronous control circuit, a preposed signal conditioning circuit, a signal digital demodulation FPGA chip, an embedded system, a communication interface and a liquid crystal display module. The device and the method can ensure on-line inspection of rail fault inspection along with train operation, and is convenient for discovering the condition of serious fault of the rail with severe potential danger to rail transportation in time.

The invention discloses a device for measuring the shade number of an automatic darkening welding filter, comprising a laser, a photoelectric detector and a signal processing unit, wherein laser light emitted by the laser is received by the photoelectric detector after passing through the filter and then converted into an electric signal; and the electric signal is processed by the signal processing unit to obtain the shade number of the tested filter, wherein the wavelength of the laser light is 532 nm; and the computational formula of the signal processing unit is N=B+klog10I, wherein N is the shade number, I is a current or a voltage, and B and k are the parameters of the test system. The invention also discloses a method for measuring the shade number of an automatic darkening welding filter.

The invention discloses a method for monitoring the three-dimensional temperature and thermal stress of an ultra-supercritical steam turbine rotor in real time. The method comprises the steps that a calculation formula for the temperature and the thermal stress of a monitoring point of the steam turbine rotor is expressed in a Green function mode according to the characteristics of heating of an ultra-supercritical steam turbine in the running process and an equation for heat conduction in a three-dimensional object, the Green function is calculated in an off-line mode by using a finite element method, and after the actual structure shape of the steam turbine and the cooling steam working state of the steam turbine are accurately simulated and are processed through various precision improvement methods, the temperature and thermal stress distribution are rapidly and accurately calculated by using the Green function. The obtained calculation result is quite close to the finite element calculation result, ideal calculation accuracy is achieved, a model is simple, calculation is rapid, information of changes of the temperature and information of changes of the thermal stress at any positions in the ultra-supercritical steam turbine rotor can be accurately monitored in real time, the overstressing phenomenon is avoided, safety of the steam turbine in the running process is protected, starting, shutdown and variable-load running of the steam turbine are guided, and economy of the steam turbine in the running process is improved.

The invention discloses a novel method which is capable of detecting citric acid fentanyl anaesthetic quickly and sensitively. The method takes ionic migration spectrometry technology as basic detection technology, a positive ion mode is adopted, and a qualitative and semi-quantitative analytical method for the citric acid fentanyl anaesthetic detected by the ionic migration spectrometry is created. Coupons containing different citric acid fentanyl anaesthetic samples are sent to be detected in a thermal desorption sample injector of an ionic migration spectrometry detector after solvent of the coupons is dried, detection signals are obtained, and a qualitative and semi-quantitative analysis is carried out. A sample measurement detection limit of the citric acid fentanyl anaesthetic can reach 50 parts per billion (ppb), a quantitative analysis range is between 1ng and 60 ng, a created standard curvilinear equation is that y is equal to 1.3451 plus 0.4044 x, and a correlation coefficient r is larger than 0.99. The detection method is simple, convenient to achieve, quick, high-efficient and good in reliability, and can be used for quick detection of the citric acid fentanyl anaesthetic in clinical diagnosis of a patient or on a crime scene.

The invention discloses a multi-working-condition process monitoring method with continuous learning capability and improved PCA, and relates to the field of industrial monitoring and fault diagnosis.The method comprises the following steps: sequentially collecting process data of an industrial system under normal working conditions to form a training set; training the initial working condition by utilizing principal component analysis, and calculating an initial projection matrix; constructing an optimization function according to an elastic weight consolidation method and a principal component analysis principle, and training subsequent working conditions to obtain an optimal projection matrix; constructing monitoring statistics and calculating a threshold value; collecting process dataunder the real-time working condition of the system as a test sample, calculating statistics of the sample by utilizing the current training model, comparing the statistics with a threshold value, and judging whether a fault occurs or not. The weight matrix is determined by combining the system principle and priori knowledge, the interpretability of the method is improved, the algorithm is simple, the calculated amount is small, implementation is easy, and the method can be widely applied to the fields of chemical engineering, processing and manufacturing, large thermal power plants and the like.

The invention relates to a rotating machinery frequency-doubled fault diagnosis method based on a three-dimensional holographic difference spectrum. The method comprises the following steps of: firstly, determining a measuring point with the most sensitive fault response on a unit shaft system, analyzing the main excitation frequency and amplitude variation trend of the measuring point by utilizing a frequency spectrum waterfall chart or a characteristic trend chart, and judging whether the fault type is a frequency-doubled fault or not by combining a rule; then calculating a double-frequencythree-dimensional holographic spectrum matrix of the shaft system in a normal state and a plurality of fault states, and constructing a double-frequency three-dimensional holographic differential spectrum matrix corresponding to the fault states on the basis; and finally, drawing a frequency-doubled three-dimensional holographic differential spectrogram of the shaft system in a plurality of faultstates to obtain a pure fault frequency-doubled ellipse of the whole shaft system in a fault development process and change characteristics of characteristics of the pure fault frequency-doubled ellipse, determining a fault source position by combining the characteristics, and carrying out qualitative diagnosis on the frequency-doubled fault. According to the method, the difference of the fault response signs is represented from time and space dimensions, and key diagnosis information is provided for accurately distinguishing rotor cracks and misalignment faults.

The invention provides an online quantitative monitoring method of a misalignment fault of a rigid rotor of a rotating machine. The method comprises the steps of: firstly mounting a key phase mark anda key phase sensor on the rotor, and mounting a displacement measurement bracket and an eddy current sensor at a free end of a driven shaft; then, collecting the time length of a certain number of key phases to serve as a period, calculating a normal vector of an end face of the free end of the rotor to serve as a reference normal vector by using a signal mean value of the eddy current sensor atvarious key phase moments within a first period time, and then calculating the normal vector of the end face of the free end of the rotor by using the signal mean value of the eddy current sensor within the subsequent period; and finally, calculating an included angle between a real-time normal vector and the reference normal vector to characterize the misalignment quantity of the rotor. By adopting the online quantitative monitoring method provided by the invention, the misalignment condition of the rigid rotor in an operation phase can be monitored in real time, the hot state alignment condition of the rotor can be monitored, furthermore, the online quantitative monitoring method is suitable for the online monitoring of the rigid rotor, can be promoted and used in enterprises, meets thedevelopment requirements of intelligent rotors, and has a wide application prospect.

The invention discloses a method for quickly detecting a tri-ethanolamine ester. During detection, a high performance liquid chromatograph is applied to the method. The method comprises the following steps: (1) preparation of test sample sliquid: precisely weighing a tri-ethanolamine ester sample, determining the volume by a mobile phase, and preparing the test sample solution after filtering a micro-aperture filter membrane; (2) measurement: absorbing the test sample solution which is 2-3 times of a quantitative loop, injecting the solution into the high performance liquid chromatograph for measuring, and quantifying by an area normalization method to realize measurement. The detection method is characterized in that the tri-ethanolamine ester is separated and analyzed qualitatively and quantitatively by using a high performance liquid chromatography method according to different polarities of single ester, di-ester and tri-ester in the tri-ethanolamine ester. The method has the advantages that a high performance liquid-ultraviolet detector which is commonly used in general laboratories and relatively low in price is utilized so that the measuring cost is low; the method is convenient to operate and the measuring time is short; all components can reach a good separating effect, and thus the method is applied to online monitoring of industrialization.