Vibration Identification of Gasoline Engine Part

2012 ◽  
Author(s):  
Jiuk Chang ◽  
Sangkwon Lee ◽  
Jongho Park ◽  
Byunghyun Kim ◽  
Hongseok Park
Keyword(s):  
Gasoline Engine ◽  
Coherence Function ◽  
Coherence Analysis ◽  
Vibration Source ◽  
Virtual Model ◽  
Input System ◽  
Single Output ◽  
Engine Part ◽  
Multiple Input ◽  
Output System

This paper presents the method estimating the contribution of vibration sources in gasoline engine with a multiple input system. Multi Dimensional Spectral Analysis (MDSA) has used to identify the cause of a linear dependence indicated by an ordinary coherence function. In order to apply the MDSA to the vibration source identification in gasoline engine, the virtual model of two inputs and single output system is simulated. For the validation of this model, the vibration of alternator was measured by using tri-axial accelerometers attached on the selected vibration source. After calculating the coherence analysis between each source based on the virtual model, the vibration contribution of alternator is calculated.

An Experimental Analysis of Interior Noise in an Ambulance and Noise Reduction with Damping Materials

2013 ◽  
Vol 316-317 ◽  
pp. 1118-1122
Author(s):  
Song Bai ◽  
Xin Xi Xu ◽  
Meng Yang ◽  
Xiao Hui Liu ◽  
Wei Hua Su ◽  
...  
Keyword(s):  
Structural Modification ◽  
Coherence Function ◽  
Interior Noise ◽  
Partial Coherence ◽  
Coherence Analysis ◽  
Analysis Method ◽  
Vehicle Interior ◽  
Single Output ◽  
Acoustic Contribution ◽  
Damping Materials

To solve the problem of an ambulance interior noise, a multi-input and single-output linear system model is established based on the partial coherence analysis method. In this model, vibration acceleration signals of panels are treated as input, sound pressure signals is treated as output. The relevant influence among the system inputs are ruled out and the partial coherence function value is considered as an indicator to estimate the panels’ acoustic contribution to the field point. On the basis of analysis, the structural modification with damping materials is performed on the panels with greater contribution. The results show that panels’ acoustic contribution can be analyzed by partial coherence analysis method effectively and structural modification with damping materials based on the method has significant effect on reducing the vehicle interior noise and decreasing additional mass.

scholarly journals Optimization of Excitation Magnitudes and Phases for Maximum Efficiencies in a MISO Wireless Power Transfer System

2020 ◽  
Vol 20 (1) ◽  
pp. 16-22
Author(s):  
Hyeongwook Lee ◽  
Seunghyun Boo ◽  
Gunyoung Kim ◽  
Bomson Lee
Keyword(s):  
Wireless Power Transfer ◽  
Maximum Efficiency ◽  
Electromagnetic Simulation ◽  
Power Transfer ◽  
Wireless Power ◽  
Algorithm Optimization ◽  
Single Output ◽  
Multiple Input ◽  
Output System ◽  
Wireless Power Transfer System

This paper presents a method for solving receiver misalignment (axial or angular) problems in wireless power transfer systems using a multiple-input single-output system. The optimum magnitudes and phases of the transmitter voltages and receiver load for maximum efficiency are derived in convenient analytical forms when negligible mutual couplings between transmitters. These solutions are validated by genetic algorithm optimization and electromagnetic-simulation results for a design ex-ample of two transmitters and one rotating receiver.

Identification of Soil Stabilizer Noise Source with Partial Coherence Analysis

2013 ◽  
Vol 427-429 ◽  
pp. 1785-1788
Author(s):  
Yan Bo Geng ◽  
Lei Lei Gao ◽  
Zhan Wen Zhang ◽  
Zhe Lei Wei
Keyword(s):  
Noise Source ◽  
Coherence Function ◽  
Partial Coherence ◽  
Coherence Analysis ◽  
Noise Sources ◽  
Single Output ◽  
Soil Stabilizer ◽  
Output Noise ◽  
Noise Source Identification ◽  
Identification Model

Since soil stabilizer consists of many operating components, it has lots of noise sources, and the major noise sources are relevant. So, it is appropriate to identify the noise source of the soil stabilizer using the partial coherence analysis. In this paper, a multi-input and single-output noise source identification model is firstly established, and then an algorithm is developed for the calculation of the partial coherence function. Finally, an experiment is carried out with an actual soil stabilizer. In the experiment the main noise sources are accurately identified. This work provides some guidance for further study of vibration and noise reduction of the soil stabilizer.

scholarly journals A Connection Between the Kalman Filter and an Optimized LMS Algorithm for Bilinear Forms

Algorithms ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 211 ◽  
Author(s):  
Laura-Maria Dogariu ◽  
Silviu Ciochină ◽  
Constantin Paleologu ◽  
Jacob Benesty
Keyword(s):  
Kalman Filter ◽  
Wiener Filter ◽  
Identification Problem ◽  
Lms Algorithm ◽  
Bilinear Forms ◽  
Least Mean Square ◽  
Spatiotemporal Model ◽  
Single Output ◽  
Multiple Input ◽  
Output System

The system identification problem becomes more challenging when the parameter space increases. Recently, several works have focused on the identification of bilinear forms, which are related to the impulse responses of a spatiotemporal model, in the context of a multiple-input/ single-output system. In this framework, the problem was addressed in terms of the Wiener filter and different basic adaptive algorithms. This paper studies two types of algorithms tailored for the identification of such bilinear forms, i.e., the Kalman filter (along with its simplified version) and an optimized least-mean-square (LMS) algorithm. Also, a comparison between them is performed, which shows interesting similarities. In addition to the mathematical derivation of the algorithms, we also provide extensive experimental results, which support the theoretical findings and indicate the good performance of the proposed solutions.

Source Identification Using Multi-Input/Single-Output Modeling and Causality Checking of Correlated Inputs

1994 ◽  
Vol 116 (2) ◽  
pp. 232-236 ◽  
Author(s):  
Jung-Seok Park ◽  
Kwang-Joon Kim
Keyword(s):  
Source Identification ◽  
Coherence Function ◽  
Experimental Results ◽  
Partial Coherence ◽  
Impulse Response Functions ◽  
Single Output ◽  
Multiple Input ◽  
Time Region ◽  
Correlated Signals

This paper presents experimental results of a case study of source identification using multiple-input/single-output modeling in a case where the inputs are coherent to some extent and, hence, the priority among the correlated inputs must be decided before applying the partial coherence function approach. The basic idea is that either one of any two correlated signals causes the other and that this causality can be checked by observing the impulse response functions estimated in the negative time region, interpretations of which are provided for a system transfer function given in the fractional form of polynomials and for a case of wave propagation. The experimental results from a three inputs/single output acoustical system shows that the method works well and is promising in the source identification problems with coherent inputs.

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