scholarly journals Research on vibration signal of engine based on subband energy method

2017 ◽  
Author(s):  
Chunmei Wu ◽  
Feng Cui ◽  
Yong Zhao ◽  
Baohong Fu ◽  
Junchi Ma ◽  
...  
Keyword(s):  
Energy Method ◽  
Vibration Signal ◽  
Subband Energy

Features of Early Cracks in a Gear Based on a 16DOF Nonlinear Time-Varying Stiffness Dynamic Model

2009 ◽  
Author(s):  
Xiaojun Zhou ◽  
Yimin Shao ◽  
Ming J. Zuo
Keyword(s):  
Crack Growth ◽  
Dynamic Model ◽  
Digital Filter ◽  
Energy Method ◽  
Vibration Signal ◽  
Spur Gear ◽  
Time Varying ◽  
Meshing Stiffness ◽  
One Stage ◽  
The Relationship

A 16DOF nonlinear time-varying stiffness dynamic model of a one-stage spur gear system is studied when there is a crack growth on the pinion; the energy method is then used for calculating the meshing stiffness of the gear pairs. A Hybrid Digital Filter is used to detect the feature signal which is induced by the tooth crack when the vibration signal contains heavy noise. The relationship between the indicators and the growth of the crack is given.

scholarly journals Weak Knock Characteristic Extraction of a Two-Stroke Spark Ignition UAV Engine Burning RP-3 Kerosene Fuel Based on Intrinsic Modal Functions Energy Method

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1148
Author(s):  
Jing Sheng ◽  
Rui Liu ◽  
Guoman Liu
Keyword(s):  
Energy Method ◽  
Wavelet Packet ◽  
Vibration Signal ◽  
Spark Ignition ◽  
Engine Block ◽  
Vibration Signals ◽  
Characteristic Extraction ◽  
Weight Value ◽  
Dominant Characteristic ◽  
Characteristic Component

To solve the problem of the weak knock characteristic extraction for a port-injected two-stoke spark ignition (SI) unmanned aerial vehicle (UAV) engine burning aviation kerosene fuel, which is also known as the Rocket Propellant 3 (RP-3), the Intrinsic modal Functions Energy (IMFE) method is proposed according to the orthogonality of the intrinsic modal functions (IMFs). In this method, engine block vibration signals of the two-stroke SI UAV engine are decomposed into a finite number of intrinsic modal function (IMF) components. Then, the energy weight value of each IMF component is calculated, and the IMF component with the largest energy weight value is selected as the dominant characteristic component. The knock characteristic frequency of the two-stroke SI UAV engine is obtained by analyzing the frequency spectrum of the dominant characteristic component. A simulation experiment is designed and the feasibility of the algorithm is verified. The engine block vibration signals of the two-stroke SI UAV engine at 5100 rpm and 5200 rpm were extracted by this method. The results showed that the knock characteristic frequencies of engine block vibration signals at 5100 rpm and 5200 rpm were 3.320 kHz and 3.125 kHz, respectively. The Wavelet Packet Energy method was used to extract the characteristics of the same engine block vibration signal at 5200 rpm, and the same result as the IMFE method is obtained, which verifies the effectiveness of the IMFE method.

Fatigue crack detection method using analysis of vibration signal

2017 ◽  
Vol 1 (20) ◽  
pp. 63-74 ◽  
Author(s):  
Arkadiusz Rychlik ◽  
Krzysztof Ligier
Keyword(s):  
Crack Detection ◽  
Fatigue Cracks ◽  
Fatigue Cracking ◽  
Vibration Signal ◽  
Technical Condition ◽  
Visual Methods ◽  
Signal Characteristics ◽  
Fatigue Crack Detection ◽  
Sample Structure ◽  
Change Identification

This paper discusses the method used to identify the process involving fatigue cracking of samples on the basis of selected vibration signal characteristics. Acceleration of vibrations has been chosen as a diagnostic signal in the analysis of sample cross section. Signal characteristics in form of change in vibration amplitudes and corresponding changes in FFT spectrum have been indicated for the acceleration. The tests were performed on a designed setup, where destruction process was caused by the force of inertia of the sample. Based on the conducted tests, it was found that the demonstrated sample structure change identification method may be applied to identify the technical condition of the structure in the aspect of loss of its continuity and its properties (e.g.: mechanical and fatigue cracks). The vibration analysis results have been verified by penetration and visual methods, using a scanning electron microscope.

Vein Recognition Based on Fusing Multi HMMs with Contourlet Subband Energy Observations

2011 ◽  
Vol 33 (8) ◽  
pp. 1877-1882 ◽  
Author(s):  
Xu Jia ◽  
Ding-yu Xue ◽  
Jian-jiang Cui ◽  
Jing Liu
Keyword(s):  
Subband Energy ◽  
Vein Recognition
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