5 results about "Actuator fault detection" patented technology

The invention discloses a fault detection device and method for a brake actuator, and belongs to the technical field of fault detection, and the fault detection device comprises a torque sensor, a coupler, a support, a brake controller and an industrial personal computer. The torque sensor is connected with a motor output shaft of the brake actuator through a coupler, fixed to an actuator shell through a support and used for monitoring the output torque of the motor in real time. During detection, an instruction is sent to a brake controller through an industrial personal computer, a closed-loop control mode and an open-loop control mode are adopted respectively, and whether a fault is originated from a motor or a transmission system is accurately positioned by analyzing a corresponding change relation between a torque value and a motor control duty ratio in a specific mode. The method effectively solves the problem that the traditional method cannot detect the small-amplitude accumulated change of the pressure signal and the inconsistency fault of the output torque during the small-duty-ratio stalling of the motor, and realizes the accurate diagnosis and positioning of the fault of the brake actuator.

The invention discloses a nuclear emergency quadrotor unmanned aerial vehicle multi-actuator fault detection method based on a Conv1D-LSTM hybrid model. The method comprises the steps of collecting flight data of a quadrotor unmanned aerial vehicle; preprocessing the collected flight data of the quad-rotor unmanned aerial vehicle, and dividing the preprocessed data into a training set, a verification set and a test set according to a random mode; constructing a hybrid model based on a one-dimensional convolutional neural network Conv1D and a long short-term memory (LSTM) network; training the hybrid model by using the training set, then evaluating the trained hybrid model by using the verification set to select the optimal hyper-parameter configuration, and performing comprehensive performance evaluation on the independent test set; and performing real-time monitoring on the flight state of the quad-rotor unmanned aerial vehicle in the nuclear emergency environment by using the finally obtained hybrid model, and quantitatively predicting the possible fault degree of each actuator of the quad-rotor unmanned aerial vehicle according to newly collected flight data of the quad-rotor unmanned aerial vehicle in the real-time monitoring process. According to the method, the detection reliability of the multi-actuator fault of the quad-rotor unmanned aerial vehicle in the nuclear emergency task is remarkably improved.

The invention discloses a biomass gas boiler drum liquid level three-impulse control system and method. The system comprises a parameter acquisition module, a central control module, an execution adjustment module and a fault diagnosis and fault tolerance module. The parameter acquisition module is used for acquiring multi-dimensional parameters of boiler operation, including steam drum liquid level data, steam flow, feed water flow, gas flow and gas components, steam drum pressure and hearth temperature; the central control module is used for performing multi-parameter fusion operation and control instruction generation through parameter preprocessing, self-adaptive three-impulse control, combustion-liquid level cooperation and pressure compensation; the execution adjusting module is used for receiving the control instruction of the central control module and adjusting the water supply amount, the gas amount, the drainage amount and the air amount; and the fault diagnosis and fault tolerance module is used for carrying out sensor fault detection and actuator fault detection on the basis of the preprocessed parameters and actuator feedback signals, starting a corresponding fault tolerance mechanism, and recording and uploading faults at the same time.

This invention discloses a fault detection method and system for Mecanum wheel automated guided vehicles (AGVs), relating to the field of industrial automation fault diagnosis technology. Based on differential inclusion theory and the Euler-Lagrange equations, this invention establishes a Lur'e differential inclusion-type state-space equation characterizing system nonlinearity, parameter uncertainty, and external disturbances. An adaptive event-triggered mechanism with dynamically adjustable parameters and exponentially decaying terms is designed to optimize data transmission, reduce resource consumption, and strictly exclude Zeno behavior. An adaptive event-triggered interval observer is constructed to achieve robust interval estimation of the system state, and actuator fault detection is achieved through the zero-value inclusion property of the residual interval. This invention solves the problem of traditional methods struggling to balance fault detection accuracy and resource utilization, and is suitable for state monitoring and fault diagnosis of Mecanum wheel AGVs in industrial scenarios.

The invention discloses a method and a system for calculating the volume efficiency of a hydraulic executive component under variable working conditions, which comprises the following steps of: determining a typical working condition, calculating to obtain the theoretical volume efficiency under the typical working condition, dividing a preset time period into a plurality of very short time intervals, calculating the actual volume efficiency of each time interval, and finally calculating the volume efficiency of the hydraulic executive component under the variable working conditions. Compensation calculation is carried out based on the actual volume efficiency of each time interval and the theoretical volume efficiency under the typical working condition, the volume efficiency of each time interval under the typical working condition is obtained, and a curve of the volume efficiency changing along with time under the typical working condition can be generated. And then the volume efficiency under the working conditions corresponding to all the time intervals is converted into the volume efficiency under the unified typical working condition, so that the volume efficiency change of different time intervals is only related to time, the trend that the volume efficiency changes along with the time is accurately represented, and the accuracy of fault detection of the hydraulic executive component is improved.