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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...
Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis using Wavelet Packet Transform and Support Vector Machines
automotive engine ignition pattern diagnosis pattern classification
2011/8/5
Engine spark ignition is an important source for diagnosis of engine faults. Based on the waveform of the ignition pattern, a mechanic can guess what may be the potential malfunctioning parts of an en...
Fault Diagnosis Method based on System-Phenomenon-Fault Tree
System-Phenomenon-Fault Tree Fault Analysis
2011/8/4
The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault. The current fault diagnosis methods using historical records are...
Mechanical Fault Diagnosis Based on Band-Phase-Randomized Surrogate Data and Multifractal
fault diagnosis Band-Phase-Randomized surrogate data
2011/8/4
The vibration signals of machinery with various faults often show clear nonlinear characteristics. Currently, fractal dimension analysis as the common useful method for nonlinear signal analysis is a ...
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 ...
Diagnosis of Intermittent Connections for DeviceNet
network fault diagnosis fieldbus DeviceNet
2011/8/3
An intermittent connection is one of the major problems that affect the network reliability and communication quality.
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 ...
Acoustic Diagnosis Technique for Machine Condition Monitoring
Analyzer Real Time Spectrum Noise Meter
2010/1/15
This work presents a real time analyzer which allows extremely and accurately finding the noisiest of acoustic fluctuations in machines due to imposing spectra on the screen against each other. Techni...
Wavelet Decomposition for the Detection and Diagnosis of Faults in Rolling Element Bearings
Discrete Wavelets Transform Discrete Wavelet Packet Transform Ball Bearing Fault Detection
2010/1/15
Condition monitoring and fault diagnosis of equipment and processes are of great concern in industries. Early fault detection in machineries can save millions of dollars in emergency maintenance costs...
Diagnosis of Turbulence Radiation Interaction in Turbulent Flames and Implications for Modeling in Large Eddy Simulation
Turbulence-Radiation Interaction Large Eddy Simulation turbulent combustion radiative transfer
2009/10/9
An a priori study of the turbulence radiation interaction (TRI) is performed on numerical data from Direct Numerical Simulation (DNS) of a turbulent flame. The influence of the various correlations th...