6045results about "Safety/regulatory devices" patented technology

An engine for aeromechanical instability abatement includes a sensor configured to capture data from rotating blades of the engine system, a airflow effector device, and an engine controller. The engine controller is configured to control the airflow effector device according to a nominal schedule, detect, based on a signal from the sensor indicating a vibration amplitude of the rotating blades within a frequency band, an incipient instability condition, in response to the incipient instability condition being present, determine a modified control parameter for at least one of the airflow effector device, and control the airflow effector device according to the modified control parameter, deviating from the nominal schedule.

The invention relates to the technical field of steam turbine testing, in particular to a testing system for mismatch correction of a wide-load-interval thermal power generating unit speed regulation model, which comprises a thermodynamic system component, a speed regulation system device, a dynamic signal acquisition device and a control device, a dynamic signal processing module analyzes the relevance between main steam pressure sudden change and control valve opening oscillation in real time, a dynamic response database including a time sequence is constructed, and a control valve opening feed-forward compensation instruction and a combustor fuel distribution gradient adjustment signal are generated according to correction parameters. Power over-modulation wave crests caused by sudden load change are suppressed, and primary frequency modulation action delay is reduced; and the simulation verification module compares measured data with model output through an error feedback mechanism, dynamically adjusts high-pressure cylinder flow characteristic curve calibration parameters, optimizes a control strategy in combination with a network-related safety margin evaluation result, and realizes improvement of dynamic response precision in a full peak regulation interval and enhancement of power grid frequency stability.

The invention provides a power plant steam extraction energy storage and power generation optimization method and system based on fused salt heat storage, and relates to the technical field of electric power. The extracted steam is introduced into a multi-stage tandem type steam-molten salt heat exchanger group; when the load of the power grid is higher than a preset dynamic threshold value, conveying the high-temperature fused salt to the cascade fused salt-water heat exchanger group by adopting a multi-path parallel fused salt conveying system; in the fused salt-water heat exchanger group, a structure of combining countercurrent flow heat exchange and a spiral heat exchange pipe is adopted, so that the heat exchange efficiency is improved, and superheated steam is generated; the generated high-temperature and high-pressure steam is conveyed to the improved steam turbine with the variable air inlet area, the air inlet area is dynamically adjusted according to the power grid load requirement, and the efficiency of the steam turbine is optimized; the intelligent power grid technology and the demand side response strategy are utilized to realize bidirectional interaction between the power generation end and the power utilization end, and power supply and demand are dynamically balanced.

A heat exchanger positioned within an annular duct of a gas turbine engine is provided. The heat exchanger extends substantially continuously along the circumferential direction and defining a heat exchanger height equal to at least 10% of a duct height. An effective transmission loss (ETL) for the heat exchanger positioned within the annular duct is between 5 decibels and 1 decibels for an operating condition of the gas turbine engine. The heat exchanger includes a heat transfer section defining an acoustic length (Li), and wherein an Operational Acoustic Reduction Ratio (OARR) is greater than or equal to 0.75 to achieve the ETL at the operating condition.

To provide a process and system for active draft control through a combined cycle power plant (CCPP).SOLUTION: A CCPP has one turbomachine / heat recovery steam generator (HRSG) that is shut down (or offline), and a second turbomachine / HRSG that is online. The HRSG-supplied duct dampers can provide sealing air to ensure no back flow from the online turbomachine / HRSG to the shut-down turbomachine / HRSG of the CCPP. However, as a cooling flow is desired, a controlled flow may be implemented to allow a cooling flow to the shut-down turbomachine. This solution is useful in cooling CCPP configurations with multiple (e.g., 2) HRSGs discharging into a common exhaust stack without individual flues dedicated to the respective HRSGs, regardless of a turbomachine configuration.SELECTED DRAWING: Figure 1

A virtual synchronization method for an energy storage system and a radial-flow water turbine generator set, said method comprising: analyzing characteristics of a radial-flow water turbine generator set, and designing a suitable energy storage system so as to smooth the power fluctuation of the radial-flow water turbine generator set (S1); acquiring characteristic parameters of the radial-flow water turbine generator set, on the basis of the characteristic parameters, designing a virtual rotor model, and establishing a machinery dynamics equation (S2); on the basis of the virtual rotor model, designing a virtual synchronization controller, constructing a closed-loop control system, and implementing charging and discharging control for the energy storage system (S3); establishing a simulation model for coupling the energy storage system and the radial-flow water turbine generator set, and optimizing parameters of the controller (S4); and, on a test platform of an actual radial-flow water turbine generator set, implementing a proposed virtual synchronous control policy, and carrying out experiment verification and result analysis (S5).

The invention discloses a self-powered intelligent network connection ball valve for adjusting fluid. The self-powered intelligent network connection ball valve comprises a ball valve body and an intelligent network connection control module arranged on the ball valve body. The ball valve body comprises a ball body, a rotating wheel arranged on the ball body, a transmission shaft connected with the rotating wheel and a generator connected with the transmission shaft. The generator is used for supplying power to the intelligent network connection control module; the intelligent network connection control module comprises a controller; the controller is used for adjusting the valve opening degree of the ball valve body. The pressure and the flow of the valve outlet can be more accurately controlled, and electric power can be provided for the intelligent network connection ball valve.

The invention relates to the technical field of control and adjustment, in particular to a steam turbine fault diagnosis system based on multi-parameter fusion monitoring, which is characterized in that a quantum hybrid sensing module is used for establishing a picosecond-level space-time reference through entangled photon pair distribution, and unifying a time sequence label of multi-source heterogeneous data; the hypergraph feature extraction module loads the coefficient to a vibration measurement point vertex attribute channel, dynamically calculates a heat conduction hyperedge weight according to a rotor eccentricity inversion value, aggregates temperature field, vibration spectrum and magnetic domain features in a space-time hypergraph which retains physical topology, outputs a cross-scale aligned fusion feature tensor, and outputs a vibration measurement point vertex attribute channel; generating a diagnosis feature vector to drive a multi-scale twin experience certificate; and the federation decision module triggers a load reduction instruction according to the microscopic crack cloud picture to inhibit thermal stress sudden change, and meanwhile, the feature representation precision is improved through cloud federation optimization hyperedge weight parameters. According to the method, the problem of characterization distortion caused by time sequence asynchronization and scale mismatch of heat and machine coupling data is solved.

A method of braking a rotational air mover portion of an aircraft propulsion system is provided. The method includes: using an electrical device to apply a torque to a propulsion unit driven by a propulsion system of an aircraft, the propulsion unit including a rotational air mover configured to provide thrust for propelling the aircraft, wherein the electrical device is configured to produce electrical energy during the process of applying the torque to the propulsion unit; controlling the electrical device to apply an amount of the torque that is sufficient to cause the rotational air mover to decelerate or to maintain the rotational air mover non-rotational; and directing the electrical energy produced by the electrical device to an aircraft component.

The invention discloses a low sample hydro-generator fault diagnosis method based on transfer learning. The method comprises the following steps: collecting a current signal, a vibration signal, a temperature signal and a voiceprint signal; executing preprocessing; performing label labeling, and dividing the data into a source domain data set and a target domain data set; operating parameters of the hydro-generator are collected, processed and combined into working condition feature vectors; training a source domain base model on the source domain data set to generate a pre-training parameter set; establishing a physical constraint module, and binding the physical constraint module with the parameter updating process of the source domain base model; initializing a transfer learning model, and calling a physical constraint module to apply constraint to generate a physically constrained transfer learning model; performing increment fine adjustment; and outputting a diagnosis result vector through the transfer learning model after increment fine tuning. According to the method, transfer learning and physical constraints are combined, hydro-generator fault diagnosis is optimized through increment fine tuning, and the method has the advantages of high precision, small sample adaptability and physical consistency verification.

A virtual synchronization method for an energy storage system and a radial water turbine generator set, relating to the technical field of electrical control strategy design. The method comprises: analyzing the characteristics of the set and designing an energy storage system; obtaining parameters, designing a virtual rotor model, and building a mechanical dynamics equation; designing a virtual synchronization controller and building a closed-loop control system; building a coupled simulation model and optimizing parameters; and implementing a control strategy on a testing platform to carry out and verify. The robustness and adaptability of the control system is greatly enhanced, and the modeling theory is enriched.

Systems and generating power in an organic Rankine cycle (ORC) operation to supply electrical power. In embodiments, an inlet temperature of a flow of gas from a source to an ORC unit may be determined. The source may connect to a main pipeline. The main pipeline may connect to a supply pipeline. The supply pipeline may connect to the ORC unit thereby to allow gas to flow from the source to the ORC unit. Heat from the flow of gas may cause the ORC unit to generate electrical power. The outlet temperature of the flow of the gas from the ORC unit to a return pipe may be determined. A bypass valve, positioned on a bypass pipeline connecting the supply pipeline to the return pipeline, may be adjusted to a position sufficient to maintain temperature of the flow of gas above a threshold based on the inlet and outlet temperature.

A gas turbine engine includes a fan drive turbine, a fan rotor, and a gear reduction driven by the fan drive turbine and, in turn, to drive the fan rotor. A main oil supply system supplies oil to components within the gear reduction, and an auxiliary oil supply system. The auxiliary oil supply system includes a rotation sensor for sensing rotation of a component that will rotate with the fan rotor, a control, an auxiliary oil pump, and a main supply sensor for sensing operation of the main oil supply system. The control is programmed to supply oil from the auxiliary oil pump to the gear reduction when the rotation sensor senses the component is rotating. A determination is made that inadequate oil is being supplied from the main oil supply system based upon information from the main supply sensor.

The invention discloses an intelligent life prediction and optimization system and method for a steam turbine rotor welded joint. The system comprises a multi-source data acquisition module, a digital twin modeling module, a health state evaluation and life prediction module, a risk early warning module and an operation collaborative optimization module. The multi-source data acquisition module acquires the multi-dimensional physical quantity of the rotor welding joint in real time. The digital twin modeling module establishes a high-fidelity virtual model and realizes real-time synchronization and correction of a physical entity and a digital model. And the health state evaluation and life prediction module is used for calculating a damage accumulation rate and a health index based on fusion of a physical model and an LSTM neural network so as to realize residual life estimation. And the risk early warning module performs graded early warning according to the dynamic trend of the health state. And the operation collaborative optimization module adaptively adjusts operation parameters and optimizes the unit efficiency based on a reinforcement learning algorithm. All the modules are interconnected through an industrial network to form a closed loop, and real-time monitoring, intelligent evaluation and active service life management of the rotor welding joint are achieved.

The invention discloses an intelligent optimization control method for a wave power generation device based on an improved MPC, and the method comprises the steps: collecting the wave height, period, flow velocity and device motion posture data in real time through a multi-source sensing module, constructing an exciting force prediction model based on a bidirectional long-short-term memory network, and achieving the precise prediction of the wave exciting force of n control periods in the future; prediction data and real-time feedback signals are input into an improved jellyfish search optimization algorithm, through a two-stage chaotic mapping perturbation mechanism, the convergence speed and the global optimization ability of the algorithm are remarkably improved, and finally optimal electric damping control parameters are output. Compared with a traditional MPC method, the method has the advantages that a feed-forward-feedback composite control framework is formed by fusing deep learning prediction and an intelligent optimization algorithm, so that the energy efficiency conversion efficiency of the power generation system is improved.

Disclosed is a method for structural damage monitoring for whole-machine life test of small turboshaft engine, comprising: determining a failure mode based on load borne by typical components of the small turboshaft engine in a service process and common failure forms, screening a structural damage index of a non-major component based on a coupling relationship between structural damages, selecting a destructive damage of components in the small turboshaft engine and an indirect damage causing changes in material properties of key component, planning a structural damage monitoring means based on the failure mode, the structural damage index, the destructive damage, and the indirect damage, designing an accelerated mission test platform of the small turboshaft engine, and designing a torque automatic loading scheme of an eddy current dynamometer, and testing the small turboshaft engine, and performing damage monitoring of the small turboshaft engine based on the planned structural damage monitoring means.

The invention discloses a hybrid pumped storage power station seasonal regulation characteristic-considered water-wind-light-storage complementary scheduling method, which relates to the technical field of energy scheduling, and comprises the following steps: additionally building a pump station between built conventional cascade hydropower stations to build a hybrid pumped storage power station which has pumped storage and runoff power generation functions; the hybrid pumped storage power station and the cascade water-wind-light power station are co-constructed to form a water-wind-light-storage complementary system; constructing a water-wind-light-storage complementary long and short term nested scheduling model considering seasonal regulation characteristics of the hybrid pumped storage power station, and taking maximum power generation benefits as a model objective function; based on a dynamic programming successive approximation algorithm, a pumping power generation working condition conversion model is introduced to construct a model solving method; solving the scheduling model through a model solving method, and obtaining a water-wind-light-storage complementary power generation plan of the seasonal regulation characteristics of the hybrid pumped storage power station; and while the short-term peak shifting benefit and the new energy consumption level are improved, the long-term water storage and energy storage effects of abundant storage and dry supplement of the hybrid pumped storage power station are brought into full play.

Disclosed are a method and system for blade tip timing measurement of full-frequency-domain vibration of a rotor blade. The method includes: identifying low-frequency, medium-frequency, high-frequency, and super-high-frequency mode parameters of the rotor blade to determine the number and mounting angles of sensors; identifying low-frequency vibration parameters based on blade tip timing according to blade tip vibration displacement; identifying medium-frequency vibration parameters based on blade tip timing according to blade tip vibration velocity; and identifying high-frequency vibration parameters based on blade tip timing according to blade tip acceleration and identifying super-high-frequency vibration parameters based on blade tip timing according to blade tip jerk. The present disclosure also provides a system for implementing the method for full-frequency-domain vibration measurement based on blade tip timing. The method for blade tip timing measurement of full-frequency-domain vibration extends the range of blade vibration frequency effectively measured by the blade tip timing technology.

The present disclosure relates to a lubrication monitoring system (15) configured to monitor a supply of lubricant in a hand-held cutting tool (1) having a cutting unit (3, 5). A lubricant tank (41) and a conduit (45) are configured to duct a flow of lubricant from the tank (41) to the cutting unit (3, 5). The lubrication monitoring system (15) comprises a heating element (29) and a sensor arrangement (31, 33), the heating element (29) being configured to heat the lubricant flow. The sensor arrangement comprises a first sensor (31) located at the flow, upstream of the heating element (29), and a second sensor (33) located at said flow, downstream of the heating element. The lubrication monitoring system outputs a monitoring signal based on a sensed temperature difference between the first and second sensors (31, 33).

A system for compensating for a relative motion between a probe and an apparatus. The system includes a probe assembly, a sensor, and a computer. The probe assembly includes an actuator pack positioned exterior to the apparatus and a probe insertable into the apparatus. The probe includes a first end coupled to the actuator pack, a second end, and an elongated body extending therebetween. The sensor senses data indicative of a relative motion between the apparatus and the probe assembly. The computer is operably coupled with the sensor and the probe assembly to move the probe of the probe assembly in response to the sensor sensing the data indicative of the relative motion between the apparatus and the probe assembly.

The invention discloses a thermal power generating unit operation state detection method and system, and relates to the technical field of operation state detection, and the method comprises the steps: S100, building a working condition variable label; s200, carrying out statistics on correlation coefficients of sensors and faults under various working conditions in historical operation data of the thermal power generating unit, dynamically updating weights, and storing the weights in a working condition database; s300, based on the energy transfer chain of the thermal power generating unit, establishing a parameter incidence matrix between devices; according to the method, the data weights of different sensors are adaptively adjusted according to the real-time operation state of the equipment, the defect that the traditional multi-sensor fusion adopts fixed weight or simple weighted average and is difficult to adapt to the working condition change is overcome, a physical relationship network between the equipment is constructed, key associated parameters are identified in an energy transfer form, and the fault identification accuracy is improved. The robustness of anomaly monitoring under complex working conditions is improved, and the false alarm rate is reduced.

The invention relates to the field of hydroelectric generation automation control, discloses an intelligent flow-pressure double closed-loop control method and system for a water inlet ball valve of a water turbine, and aims to solve the technical problems that flow stability and pressure fluctuation suppression are difficult to consider, dynamic response is delayed and working condition adaptability is poor in existing single-loop control. The method comprises the steps that inlet pressure and flow data are collected in real time through a pressure sensor and an ultrasonic flowmeter, a cascade structure of outer ring flow control and inner ring pressure control is constructed in combination with working condition parameters such as the rotating speed of a unit and the opening degree of a guide vane, and a working condition self-adaptive weight distribution module is introduced to dynamically adjust the double-ring gain coefficient; meanwhile, a feed-forward compensation mechanism and an optimal efficiency curve database are fused, and dynamic matching of set values and advanced response of load instructions are achieved. The system comprises a data acquisition unit, a double-closed-loop control unit, a weight distribution unit, an electro-hydraulic servo execution mechanism and a safety interlocking module, and supports microsecond-level gain updating and high-precision valve position control. According to the technical scheme, the adjusting precision and the response speed of the water turbine under the complex working condition are remarkably improved, the actual measurement efficiency is improved by 2.5%-4.8%, the adjusting time is shortened to be within 3 seconds, the positioning precision reaches + / -0.5 degree, and safe and stable operation of the system is guaranteed.

The invention discloses a steam turbine regulating valve state evaluation method, and belongs to the technical field of thermal power plant steam turbine valve state monitoring, and the method comprises the steps: collecting the video stream data and operation data of a to-be-evaluated steam turbine regulating valve rod, recognizing the contour of the valve rod based on a YOLOv5 model according to the video stream data, and outputting the feature points of the valve rod; tracking the two-dimensional coordinates of the feature points of the valve rod to calculate the vibration parameters of the valve rod; the method comprises the following steps: calculating a Pearson correlation coefficient of operation data, screening vibration parameters related to a jam fault to generate a time domain displacement sequence, performing time alignment with the operation data, performing fast Fourier transform to obtain a frequency spectrum, and identifying a dominant frequency component, a frequency multiplication component and a sideband frequency; calculating a frequency deviation and an energy distribution difference based on a preset reference spectrum library; and judging the jam grade according to the frequency deviation and the energy distribution difference. The technical problem that the jamming fault level cannot be accurately quantified by an existing turbine regulating valve state monitoring method is solved.

The invention discloses a digital twinning-based pumped storage power station unit shafting safety early warning method, which comprises the following steps of: S1, acquiring operation data of a pumped storage power station unit shafting, and preprocessing the operation data; s2, based on the preprocessed operation data, establishing a shafting digital twinborn model and a shafting attitude prediction model of the pumped storage power station unit; s3, comparing the difference between the output of the shafting digital twin model and the output of the attitude prediction model, and correcting the digital twin model; and S4, according to the corrected digital twinborn model and the shafting attitude prediction model, realizing safety early warning of the pumped storage power station unit. According to the invention, intelligent and real-time vibration monitoring and safety early warning of the set shaft system of the pumped storage power station can be realized.

An apparatus for servicing internal components of an aircraft engine includes a flexible hollow tube; a latching mechanism connected to or incorporated with the flexible hollow tube; and a servicing device to be inserted through the flexible hollow tube. The servicing device is freely moveable through the flexible hollow tube and decoupled from the latching mechanism. The flexible hollow tube is shaped and configured so as to enable proximate positioning of the flexible hollow tube with respect to a rotatable component of an aircraft engine allowing attachment of the flexible hollow tube to the rotatable component via the latching mechanism after the flexible hollow tube is inserted through an entry port of the aircraft engine.

The invention belongs to the technical field of comprehensive utilization of ocean renewable energy sources, and particularly relates to a pilot frequency coupling-based wind wave energy multi-degree-of-freedom broadband control method, which comprises the following steps of: performing frequency domain identification on wind wave environment characteristics, and constructing a wind wave pilot frequency energy coupling model; based on the motion response characteristics of the multi-degree-of-freedom floating platform, designing a pilot frequency energy regulation and conversion mechanism; a full-working-condition dynamic optimization control strategy is adopted, and cooperative operation and energy flow self-adaptive distribution of the wind energy conversion unit and the wave energy conversion unit are achieved. Aiming at the significant difference and relevance of wind energy and wave energy in frequency characteristics, time scale and spatial distribution, a pilot frequency wind wave coupling dynamic model is established, and broadband capture of low-frequency wind-induced and high-frequency wave-induced coupling energy is realized under complex sea conditions through multi-degree-of-freedom motion decoupling and state observation, so that the wind-induced and high-frequency wave-induced coupling energy is obtained. The energy utilization rate, the attitude stability and the structural safety of the system are effectively improved, and good robustness and engineering adaptability are achieved.

The invention discloses a thermal power generating unit high-pressure heater fault load reduction control method, which comprises the following steps of: 1, judging whether a thermal power generating unit generates high-pressure heater fault splitting or not, and if so, entering a step 2; 2, judging whether a triggering condition of a unit load reduction program is met or not, if yes, sending a unit rapid load reduction instruction, and entering a step 3; 4, whether the auxiliary machine fault load reduction program is completed or not is judged, if the auxiliary machine fault load reduction program is completed, the unit enters a stable transition state, and if the auxiliary machine fault load reduction program is completed, the third step is executed again. The method is reasonable in design, key actions of thermal power generating unit high-pressure heater auxiliary machine fault load reduction are defined and set in control logic, automatic control of the thermal power generating unit high-pressure heater auxiliary machine fault load reduction process has practical operability, intelligent control of the load reduction process is achieved, and the reliability of the load reduction process is improved. And the stability and the safety of the thermal power generating unit after the high-pressure heater is split are ensured.

The invention provides a self-adaptive algorithm and system for improving frequency measurement precision and response speed of a speed regulator. The method comprises the following steps: Step 1, signal acquisition and preprocessing; step 2, dynamically adjusting filtering parameters, and suppressing power grid signal noise; 3, extracting frequency characteristics in real time, and improving the frequency measurement resolution; 4, a synchronous clock is adopted as a reference frequency source, a clock reference value is periodically and automatically corrected, and long-term drift is eliminated; 5, a nonlinear dynamic model of the hydroelectric generating set is constructed, the nonlinear relation between the valve opening degree and output of the speed regulator is compensated in real time, and the frequency modulation precision is improved; and step 6, outputting the instantaneous frequency. According to the scheme, through the self-adaptive frequency measurement algorithm, high-precision clock calibration, a hardware acceleration mechanism and a nonlinear compensation strategy, a multi-dimensional optimization system is constructed, high-precision frequency measurement is carried out, a rapid effect can be achieved, and a hydroelectric system has long-term stability and high adaptability.

The invention discloses an intelligent monitoring system for the running state of a water turbine. The intelligent monitoring system comprises a data acquisition module, a real-time data pushing module, a data storage module, a state evaluation module and a man-machine interaction module. The data acquisition module is used for acquiring vibration, throw, pressure pulsation and key phase information by using various sensors; the real-time data pushing module is used for distinguishing data types and pushing the data through WebSocket and HTTP protocols; the data storage module adopts a Redis and MySQL double-layer framework; the state evaluation module constructs an evaluation index system, determines a weight by using an entropy weight method and an improved analytic hierarchy process, and determines an operation state through deterioration degree analysis and fuzzy comprehensive evaluation; the man-machine interaction module displays monitoring data and evaluation results, provides a real-time monitoring, data query and state evaluation interface, has the advantages of being fast in data updating, convenient to query, visual in display and the like, can comprehensively monitor the operation state of the water turbine, and provides powerful guarantee for safe and efficient operation of a hydropower station.