A New Method for Facies Simulation Using Non-Linear Geostatistics with Directional and Order Asymmetry

2017 ◽  
Author(s):  
Stephen Tyson ◽  
Sebastian Hörning
Keyword(s):  
New Method ◽  
Non Linear

New Method of Fault Knowledge Acquisition of Electronic Equipment

2014 ◽  
Vol 496-500 ◽  
pp. 931-934
Author(s):  
Zhi Cheng Huo ◽  
Qi Shun Sun ◽  
Feng Jun Qi ◽  
Guo Bao Ding
Keyword(s):  
Knowledge Acquisition ◽  
Electronic Equipment ◽  
New Method ◽  
Topological Information ◽  
Amplifier Circuit ◽  
C Language ◽  
Transistor Amplifier ◽  
Analog System ◽  
Non Linear ◽  
Electric Equipment

For the problems like discreteness, tolerance, non-linear of the parts, acquiring the fault knowledge of analog system in electric equipment is hard. This method realized the process of KA automatization through the combination of PSPICE software and C language and taking command lines as combining site. Using the batch file, the programs will form some topological information and parameter information about the fault states of a circuit system each time. The result of a experiment about an Basic Transistor Amplifier circuit proves its feasibility.

Numerical Validation of Characteristic and Linearized Unsteady Boundary Conditions for Non-Integer Blade Ratios in a Non-Linear Navier Stokes Solver

2005 ◽  
Author(s):  
Thomas Mokulys ◽  
Stephen C. Dewhurst ◽  
Reza S. Abhari
Keyword(s):  
Boundary Conditions ◽  
New Method ◽  
Navier Stokes ◽  
Conservative Approach ◽  
Single Row ◽  
Numerical Validation ◽  
Single Passage ◽  
Non Linear ◽  
Improved Stability ◽  
Similar Accuracy

Unsteady single passage methods for turbomachinery applications are becoming a more and more mature method in predicting unsteady blade-to-blade aerodynamics in a more efficient and accurate way compared to multipassage computations with scaled airfoil geometries. The outlined work presents results of a fourier-based method for phase-lagged boundary conditions using a usual conservative approach at the interfaceplane and compares it to a new characteristic treatment as well as a linearized single row approach. The new method provides results of similar accuracy with improved stability of the algorithm and faster convergence times.

Mine Fan Fault Diagnosis Based on EMD and SVM

2011 ◽  
Vol 63-64 ◽  
pp. 449-452 ◽  
Author(s):  
Jun Fa Leng ◽  
Shuang Xi Jing
Keyword(s):  
Fault Diagnosis ◽  
Condition Monitoring ◽  
Pattern Classification ◽  
Diagnostic System ◽  
New Method ◽  
Intelligent Diagnosis ◽  
Linear Pattern ◽  
Non Linear ◽  
On Line ◽  
Integrative Method

In this research, a new method based on EMD and SVM for mine fan fault diagnosis is introduced. With EMD, fault feature can be extracted quickly and accurately, and taken as the input samples for SVM with the outstanding non-linear pattern classification performances. 5 two-class SVM classifiers are designed in order to classify and diagnosis 5 typical fault patterns of mine fan. The result of this research shows that the integrative method of EMD and SVM is very fit for the intelligent diagnosis and fault patterns recognition, and it will lead to the possible development of an automated and on-line mine fan condition monitoring and diagnostic system.

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