4results about How to "Predict remaining life" patented technology

This invention relates to the field of battery life prediction technology, specifically providing a method, apparatus, and medium for predicting the remaining life of a battery, aiming to solve the problem of inaccurate prediction of the remaining battery life. To this end, the method includes acquiring the battery's full life-cycle operating parameters and dividing these parameters into training and test sets; selecting highly correlated features from the training set to establish a training set health model; and calculating the actual health HI of the test set based on its features. Test And based on the health model of the training set, predict the predicted health HI of the test set. Pred The two models are compared to select the K closest battery health models; the final lifetime TL of these K closest battery health models is obtained, and the predicted lifetime TL of the test set batteries is calculated. Pred Predicted remaining lifetime RUL = TL Pred -TL Curr , among which, TL Curr This method aims to accurately predict the remaining lifespan of a test cell.

The invention relates to the technical field of rolling mill universal spindles, in particular to a universal spindle monitoring and early warning system and method based on fatigue prediction. The invention discloses a universal spindle monitoring and early warning system based on fatigue prediction. The system comprises a universal spindle online monitoring device, a universal spindle data processing module, an intelligent gateway, a universal spindle data server and a universal spindle operation and maintenance terminal. The system collects the operation data of the universal spindle in real time, compares the operation data with abnormal data, carries out the timely early warning of the abnormal state of the spindle, analyzes the fatigue damage degree of a part based on a rain flow algorithm and an S-N fatigue life curve, achieves the prediction of the remaining life of the universal spindle, provides precise data support for the management of spare parts, and improves the safety of the spare parts. Meanwhile, a grading early warning strategy is adopted for torque damage under different conditions, an expert database containing a large amount of fault data of the connecting shaft and corresponding fault types is built through a universal connecting shaft data server, monitoring data are compared with data of the expert database, and fault reasons are rapidly found out for solving.

This invention presents a data-driven method for assessing the condition and predicting the lifespan of nuclear power plant transformers. The method includes: collecting actual test, maintenance, and operation data of nuclear power plant transformers; combining this data with multiphysics simulation data to construct a dataset for assessing the condition of nuclear power plant transformers; using a large dataset of actual and simulated data, employing data mining methods to calculate the Mahalanobis distance between the aging data and the health baseline model of the nuclear power plant transformers, and classifying the equipment into different health levels accordingly to achieve accurate assessment of equipment condition; and through intelligent analysis of the obtained current health status and operational data of the nuclear power plant transformers, predicting faults and remaining lifespan. This invention effectively overcomes the shortcomings of traditional equipment condition monitoring and operation and maintenance decision-making processes that rely on manual experience, improving the accuracy and real-time performance of equipment condition assessment, and enabling the prediction of remaining lifespan and faults.

This invention discloses a nonlinear ultrasonic guided wave detection system based on multi-channel reception, comprising a high-energy fundamental frequency ultrasonic excitation module, which generates an electrical signal under the control of a trigger signal and performs amplification and filtering; a transmitting transducer, which generates ultrasonic waves under the excitation of the high-energy fundamental frequency ultrasonic excitation module and acts on the target object; a variable angle receiving transducer array, which receives the ultrasonic guided wave signal fed back by the target object and converts it into a feedback electrical signal; an ultrasonic acquisition module, which, under the instruction of the control and signal processing module, amplifies and samples the feedback electrical signal and converts it into a digital signal; and a control and signal processing module, including an FPGA chip and an ARM main processor, which generates control instructions and performs time-domain, frequency-domain, and spatial-domain information extraction on the digital signal sent by the ultrasonic acquisition module, calculates the material nonlinear parameters carried by the guided wave signal, and performs micro-damage assessment and lifetime prediction based on the material nonlinear parameters.