Aktiebolaget Skf

General Electric Company

Nokia Solutions and Networks Oy

Ge Medical Systems Global Technology Company, LLC

Baker Hughes Oilfield Operations LLC

Gang Cheng

Kaihuan Zhang

Weihua Shang

Xiaodong Han

Wei Tan

Yao Liang Chen

Feng Lin

Christopher Robert Hazard

John Jay Williams

Jing Ye

Ran Niu

Yan Mei

Longtao Yuan

Liang Ding

Dingjun He

Xiaoquan Zhao

Linhui Liu

Junkui Li

Shibai Liao

Ran Nui

Lu Tang

Fengguo Tian

Liang Shen

A method for anomaly detection on a doctor blade of a papermaking machine includes obtaining doctor blade-related data, wherein the doctor blade-related data includes working condition data, status monitoring data, and design parameter data of the doctor blade, performing a predetermined data pre-processing on the doctor blade-related data to obtain a pre-processed data set, wherein the pre-processed data set includes processed data respectively corresponding to the working condition data, the status monitoring data, and the design parameter data; performing a predetermined feature extraction on the pre-processed data set, and fusing extracted features to obtain fused feature data; and analyzing the fused feature data based on different anomaly detection processes respectively, to perform a comprehensive anomaly detection on the doctor blade of the papermaking machine.

Method and apparatus for anomaly detection on a doctor blade of a papermaking machine, and computing device

A machine tool evaluation method, a machine tool evaluation system and medium are disclosed. The method includes: determining a target component of a machine tool; and for each target component: acquiring type information and attribute information of the target component; determining and acquiring, based on type information and the attribute information, target operating condition data, target state monitoring data, and target design parameter data corresponding to the target component and generating an original data set based on the target operating condition data, the target state monitoring data and the target design parameter data; preprocessing the original data set to obtain a target data set; performing feature extraction on the target data set to obtain a feature data set; and performing a multi-level evaluation on the target component, and generating an evaluation result of the target component; and generating an evaluation result of the machine tool based on the evaluation results.

Machine tool evaluation method, machine tool evaluation system and medium

A machine tool management method, a machine tool management system and a medium are disclosed, the machine tool management method including: determining at least one target component of a machine tool; generating an evaluation result of the machine tool according to a preset processing rule based on the determined at least one target component; for each target component of one or more target components in the at least one target component, acquiring a target evaluation result corresponding to the target component from the evaluation result of the machine tool; determining a preset management rule based on the target evaluation result and type information and attribute information of the target component, and managing the target component according to the preset management rule.

Machine tool management method, machine tool management system and medium

The present invention provides a monitoring method for a plate billet crank flying shear process, including: acquiring a control signal of a control system of a crank flying shear device, and determining a cutting stage of the crank flying shear process according to the control signal; obtaining an actual cutting edge speed curve in the cutting stage, and further dividing the cutting stage into multiple sub-processes according to the actual cutting edge speed curve; obtaining actual data of a parameter related to the crank flying shear process, and for one or more of the multiple sub-processes, separately comparing the actual data of the parameter with typical data of the parameter, in order to estimate an abnormality risk.

Monitoring method for plate billet crank flying shear process

The present disclosure provides a method and system for performing fault diagnosis by bearing noise detection. The method provides: collecting noise in bearing detection, the noise comprising bearing noise and operating condition noise; subjecting the collected noise to pre-processing, to obtain a first time domain signal and a second frequency domain signal; and inputting the first time domain signal and second frequency domain signal to a bearing fault diagnosis model. The bearing fault diagnosis model includes a characteristic extraction model and a fault discrimination model, the characteristic extraction model subjects the first time domain signal and second frequency domain signal to characteristic extraction separately to obtain a first characteristic associated with a time domain shock peak and a second characteristic associated with a fault frequency peak. Moreover, the fault discrimination model combines the first characteristic and second characteristic, and performs fault discrimination on the basis of a combined characteristic.

Method and system for performing fault diagnosis by bearing noise detection

The present disclosure provides a technical scheme for transmitting video streams in WiFi mesh networks, including a method for transmitting multicast video in an access points in a WiFi mesh network, wherein the method includes: receiving a video stream and determining the node(s) to which the video stream needs to be transmitted, wherein the video stream includes a multicast address; determining dynamically a transmission mode of the video stream and transmitting corresponding video stream to multiple stations using the transmission mode when the nodes are the multiple stations corresponding to the multicast address; transmitting corresponding video stream to a next access point using unicast mode when the node is the next access point.

Method and apparatus for transmitting video streams in WiFi mesh networks

A system and method are described which are useful for monitoring parameters of drilling fluid within a drilling system comprising a drilling assembly. The drilling assembly is connected between a drilling platform and a wellhead and is useful for more safely drilling a wellbore necessary for hydrocarbon exploration and production by signaling the occurrence of a kick. The drilling assembly comprises a reader module for reading data information of at least one RF tag dispersed in a returned drilling fluid. The data information of the RF tag is transmitted to a controller via a communication link to calculate related parameters of the returned drilling fluid. A method for monitoring parameters of drilling fluid, and an allied blowout preventer for a drilling system are also provided.

System and method for drilling fluid parameters detection

A system and method for calculation of flow rate comprising at least two ultrasonic sensors, ultrasonic transmit receive device, and signal processing device. At least two ultrasonic sensors are installed on the pipe where the fluid is flowing through, and at least two ultrasonic sensors contain different ultrasonic beam paths, further, the ultrasonic beam paths of at least two ultrasonic sensors contain the overlap area. The ultrasonic transmit and receive device is used to actuate at least two ultrasonic sensors, and is used to transmit one or multiple ultrasonic signals to pipes via one or multiple of at least two ultrasonic sensors, further, to receive ultrasonic signal via at least two ultrasonic sensors. The signal processing device is used to process the ultrasonic signal received, further, to calculate the flow rate of the fluid precisely.

System and method for calculating flow velocity

A method for eliminating background noises in shear waves and the respective ultrasonic imaging system, the method includes: transmitting a push pulse along a push pulse vector; transmitting a first group of focus track pulses at a first group of a plurality of locations far away from the push pulse vector; receiving a first group of focus echo signals in response to the first group of focus track pulses; and processing the first group of focus echo signals to determine a first group of tissue displacement information varying with time.

Method of remove blackground noise in short pulse excitation of ARFI

In accordance with embodiments disclosed herein, systems, methods, and computer programs are provided that determine a mechanical property of a subject. An excitation force is applied to a displacement origin within a subject, and a shear wave is generated in response to application of the excitation force. The displacement data indicative of displacement motion at the sample position is sampled by tracking pulses, and the timing of at least one of the tracking pulses is adjusted relative to application of the excitation force. The process continues until a peak displacement of the shear wave for the sample position is determined based upon the displacement data.

Systems, methods and computer programs for detection of tissue mechanical property

A method of determining component misalignment in a multi-modality imaging system includes imaging a plurality of target objects with a first modality unit to generate a tomographic image data set and imaging the plurality of targets with a second modality unit to generate an emission image data set. The method also includes determining a location of the target objects in the emission image data set to produce emission target object location coordinates, calculating a positional alignment vector for each target object based on the emission target object location coordinates, and aligning the multi-modality imaging system based on the positional alignment vectors.

Growing community of inventors

Shanghai, China

Gang Cheng