A convolutional neural network support vector machine (CNN–SVM) method based on multichannel feature fusion is used for progressive fault diagnosis of offshore oil and gas wells. The excellent classification performance CNN attributed to its ability extract representations from large amounts easily distinguishable data. However, the capability severely constrained by noisy small sample amount e...

This paper focuses mainly on application of Partial Connected Back Propagation Neural Network (PCBP) instead of typical fully connected neural network (FCBP), as PCBP with less connections learns faster than FCBP. The initial neural network is fully connected, after training with sample data, a clustering method is employed to cluster weights between input to hidden layer and from hidden to out...

Citation: Lai C-Z, DeGrandpre MD and Darlington RC (2018) Autonomous Optofluidic Chemical Analyzers for Marine Applications: Insights from the Submersible Autonomous Moored Instruments (SAMI) for pH and pCO2. Front. Mar. Sci. 4:438. doi: 10.3389/fmars.2017.00438 Autonomous Optofluidic Chemical Analyzers for Marine Applications: Insights from the Submersible Autonomous Moored Instruments (SAMI) ...

Abstract In this paper, the timer control and inverter of pumping system are modelled simulated. The effects evaporation, rainfall seepage considered to make model more practical. proposed VFD used motor pump, which saves a lot cost. MATLAB/SCIP optimization software was implement developed model. Simulation assess performance electrical switching system. Two scenarios were simulate model: firs...

abstract: impeller trimming is a proper way to alter the performance of centrifugal pump with a constant speed so as to meet the demand on the specified flow rate and head in pumping systems. the affinity law accounting for the impeller trimming is the key relation to determine the pump performance with a trimmed impeller. there seems no experimental study dealing with such an affinity law for ...