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Predicting the Performance of a Design Team Using a Markov Chain Model
New product development optimization organizational decision processes organizational design Queuing/Markov analysis
2016/5/18
When faced with a complex design problem, a design team may separate it into subproblems. We would like to know when this approach is superior and how subproblems shouldbe assigned to team members. We...
Fault diagnosis of lithium ion battery using multiple model adaptive estimation
Kalman filter Extended Kalman filter Lithium Ion Fault probabilities
2015/1/12
Lithium ion (Li-ion) batteries have become integral parts of our lives; they are widely used in applications like handheld consumer products, automotive systems, and power tools among others. To extra...
Electrochemical model based condition monitoring of a Li-ion battery using fuzzy logic
Li-ion battery Diagnosis
2015/1/12
There is a strong urge for advanced diagnosis method, especially in high power battery packs and high energy density cell design applications, such as electric vehicle (EV) and hybrid electric vehicle...
A Multi-step Reaction Model for Stratified-Charge Combustion in Wave Rotors
Two-Step Reaction Multi-species Model One-Dimensional Euler Equations
2015/1/12
Testing of a wave-rotor constant-volume combustor (WRCVC) showed the viability of the application of wave rotors as a pressure gain combustor. The aero-thermal design of the WRCVC rig had originally b...
The physical and mathematical foundations of the Oriented-Eddy Collision turbulence mo del are provided through a discussion of the Reynolds averaged NavierStokes (RANS) equations, probability density...
Estimation of Fine Dust Particles Distribution in Machining Workshop Based on COwZ Model
COwZ model dry cutting fine dust particles dust emission
2011/8/4
Fine dust particles (diameter is less than 2.5 m) generated during machining processes, especially dry cutting, are harmful to operators, because they remain suspended in the air for long time...
Fault Diagnosis Model Based on Feature Compression with Orthogonal Locality Preserving Projection
Orthogonal locality preserving projection(OLPP) Manifold learning, Feature compression
2011/8/4
Based on feature compression with Orthogonal Locality Preserving Projection (OLPP), a novel fault diagnosis model is proposed in this paper to achieve automation and high-precision of fault diagnosis ...
Application of a Novel Method for Machine Performance Degradation Assessment Based on Gaussian Mixture Model and Logistic Regression
performance degradation assessment Gaussian mixture model logistic regression
2011/8/4
The currently prevalent machine performance degradation assessment techniques involve estimating a machine's current condition based upon the recognition of indications of failure features, which enta...
A close-form model for dispersion in shallow waves over varying shear current
Longitudinal dispersion coefficient waves steady shear
2010/9/26
The longitudinal dispersion coefficient of pollutants in a wave-steady current flow field (WCLDC) is theoretically quantified by deriving a stream function for the combined flow. The steady current pr...
Experimental Research and Mathematical Model of Drag Torque in Single-plate Wet Clutch
wet clutches drag torque mathematical model laminar flow
2011/8/3
Reduction of drag torque is one of important potentials to improve transmission efficiency. Existing mathematical model of drag torque was not accurate to predict the decrease after oil film shrinking...
Sequencing Mixed-model Production Systems by Modified Multi-objective Genetic Algorithms
mixed-model production system sequencing parallel machine buffers
2011/8/3
As two independent problems, scheduling for parts fabrication line and sequencing for mixed-model assembly line have been addressed respectively by many researchers. However, these two problems should...
A General Model of Fuzzy Plasticity
plasticity theory fuzzy model membership function plastic modulus
2011/8/3
The transition between the elastic and plastic states is sharp in the classical plasticity theory. To overcome this problem, many constitutive models, such as multi-yield-surface model and two-surface...
Wavelet Neural Network Based on NARMA-L2 Model for Prediction of Thermal Characteristics in a Feed System
wavelet neural network NARMA-L2 model particle swarm optimization
2011/8/3
Research of thermal characteristics has been a key issue in the development of high-speed feed system. Most of the work carried out thus far is based on the principle of directly mapping the thermal e...
Auditory-Model-Based Feature Extraction Method for Mechanical Faults Diagnosis
faults diagnosis feature extraction auditory model early auditory model
2011/8/3
It is well known that the human auditory system possesses remarkable capabilities to analyze and identify signals. Therefore, it would be significant to build an auditory model based on the mechanism ...
Discrete Stress-Strength Interference Model of Reliability Analysis Under Multi-operating Conditions
reliability model stress strength multi-operating conditions
2011/8/3
The conventional stress-strength interference (SSI) model is a basic model for reliability analysis of mechanical components. In this model, the component reliability is defined as the probability of ...