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Chapter and Conference Paper
Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions
In reality, the inputs and outputs of many complicated systems are time-varied functions. However, conventional artificial neural networks are not suitable to solving such problems. In order to overcome this l...
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Chapter and Conference Paper
Approximation Capability Analysis of Parallel Process Neural Network with Application to Aircraft Engine Health Condition Monitoring
Parallel process neural network (PPNN) is a novel spatio-temporal artificial neural network. The approximation capability analysis is very important for the PPNN to enhance its adaptability to time series pred...
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Chapter and Conference Paper
Aeroengine Turbine Exhaust Gas Temperature Prediction Using Support Vector Machines
The turbine exhaust gas temperature (EGT) is an important parameter of the aeroengine and it represents the thermal health condition of the aeroengine. By predicting the EGT, the performance deterioration of t...
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Chapter and Conference Paper
Engine Testing Fault Classification Based on the Multi-class SVM of Auto-regression
In connection with the problem of lack of an effective method for vibration fault diagnose of aero-engine during the testing process in test cell, this paper proposed a classification method for aero-engine’s ...
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Article
Open AccessDirected self-assembly of block copolymer films on atomically-thin graphene chemical patterns
Directed self-assembly of block copolymers is a scalable method to fabricate well-ordered patterns over the wafer scale with feature sizes below the resolution of conventional lithography. Typically, lithograp...
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Article
Sub-10-nm patterning via directed self-assembly of block copolymer films with a vapour-phase deposited topcoat
Directed self-assembly (DSA) of the domain structure in block copolymer (BCP) thin films is a promising approach for sub-10-nm surface patterning. DSA requires the control of interfacial properties on both int...
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Article
Open AccessBoundary-directed epitaxy of block copolymers
Directed self-assembly of block copolymers (BCPs) enables nanofabrication at sub-10 nm dimensions, beyond the resolution of conventional lithography. However, directing the position, orientation, and long-rang...
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Chapter and Conference Paper
Research on Positioning of Mobile Robot with Manipulator Arm for Machining of Large Cabin Support in Original Position
The processing of large-scale cabin support parts for manned spaceflight requires repeated installation, processing and measurement, resulting in low processing efficiency and poor processing accuracy. This pa...
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Article
Decision rule mining for machining method chains based on rough set theory
Decision rules for machining method chains mined from historical machining documents can help technologists quickly design new machining method chains. However, the main factor that limits the practical applic...
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Article
Open AccessMolecular ferroelectric/semiconductor interfacial memristors for artificial synapses
With the burgeoning developments in artificial intelligence, hardware implementation of artificial neural network is also gaining pace. In this pursuit, ferroelectric devices (i.e., tunneling junctions and tra...
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Article
Open AccessCascaded Random Raman Fiber Laser With Low RIN and Wide Wavelength Tunability
Cascaded random Raman fiber lasers (CRRFLs) have been used as a new platform for designing high power and wavelength-agile laser sources. Recently, CRRFL pumped by ytterbium-doped random fiber laser (YRFL) has...
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Article
The carbon emission and maintenance-cost guided optimization of aero-engine clearance schedule
Aero-engine clearance is an important way to reduce carbon emission, save fuel consumption, and decrease maintenance costs. To solve the problem of insufficient clearance caused by the current regular cleaning...
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Article
Boundary construction method of collision avoidance for conventional cutters
Machine parts are increasingly adopting complex and free-form surface structures to achieve good performance. In this context, technology for collision avoidance is paramount for ensuring that cutters and mach...
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Article
Open AccessIn-situ artificial retina with all-in-one reconfigurable photomemristor networks
Despite that in-sensor processing has been proposed to remove the latency and energy consumption during the inevitable data transfer between spatial-separated sensors, memories and processors in traditional co...
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Article
CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity
The main problem in data-driven anomaly detection of gas turbines is that the monitoring data consists of only a very small number of abnormal samples with the overwhelming majority of normal samples. To addre...
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Article
Collision avoidance and orientation planning for ball-end cutter
Propeller blades have freeform surfaces, and the overlap among the blades limits the adjustment range of cutter orientation, making it extremely difficult to generate the required cutter orientation. Therefore...
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Article
Double-sided collaborative machining for propeller blade based on XYZ-3RPS hybrid kinematic machine
At present, propeller blades are machined single-sided with low efficiency. Thus, a propeller needs to be turned over after completion of the machining of the first side of the blade, which requires second cla...
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Article
Double regulation Levenberg–Marquardt neural networks: an aero-engine fuel flow prediction method
Fuel flow of aero-engine is a very important gas path performance monitoring parameter. It is a highly nonlinear time series data with a large amount of noise. Accurate prediction of fuel flow is a great chall...
