Vibration Order Analysis Method Utilizing Keyphsor Signal for Rolling Mill Gearbox Diagnosis

2021 ◽  
Author(s):  
Han Liu ◽  
Ziqi Wang ◽  
Lin Liang
Keyword(s):  
Rolling Mill ◽  
Analysis Method ◽  
Order Analysis

A novel tacholess order analysis method for bearings operating under time-varying speed conditions

Measurement ◽  
2021 ◽  
pp. 110127
Author(s):  
Madhurjya Dev Choudhury ◽  
Liu Hong ◽  
Jaspreet Singh Dhupia
Keyword(s):  
Time Varying ◽  
Analysis Method ◽  
Order Analysis

A Rolling Bear Fault Diagnosis Method Based on Improved LMD and Order Analysis

2014 ◽  
Vol 530-531 ◽  
pp. 256-260
Author(s):  
Hui Juan Yuan ◽  
Jia Qi ◽  
Hong Mei Li ◽  
Jun Zhong Li ◽  
Xue Jiang ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Amplitude Modulation ◽  
Frequency Modulation ◽  
Rolling Bearing ◽  
Analysis Method ◽  
Vibration Signals ◽  
Order Analysis ◽  
Diagnosis Method ◽  
Bearing Vibration

This document explains and demonstrates how to predict the fault point of rolling bear. Rolling bearing vibration signals are decomposed by the LMD method to get several single components including amplitude modulation and frequency modulation signals. Combing the order analysis method can get the fault point of rolling bear.

scholarly journals A Three-Phase Current Tacholess Envelope Order Analysis Method for Feature Extraction of Planetary Gearbox under Variable Speed Conditions

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5714
Author(s):  
Xun Zhang ◽  
Guanghua Xu ◽  
Jiachen Kuang ◽  
Lin Suo ◽  
Sicong Zhang ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Speed Estimation ◽  
Analysis Method ◽  
Variable Speed ◽  
Extraction Technology ◽  
Planetary Gearbox ◽  
Time Frequency ◽  
Phase Current ◽  
Order Analysis ◽  
Three Phase

Planetary gearboxes are the key components of large equipment, such as wind turbines, shield machines, etc. The operating state of the planetary gearbox is related to the safety of the equipment as a whole, and its feature extraction technology is essential. In assessing the problem of the non-stationarity of the current signal under variable speed conditions and the difficulty of evaluating the operating state of the planetary gearbox under a tacholess condition, a three-phase current, variable-speed tacholess envelope order analysis method is proposed. Firstly, a tacholess rotation speed estimation is completed by extracting the trend term of the instantaneous frequency of the asynchronous motor’s three-phase currents. The motor slip rate is assumed to be constant. Then, the envelope order analysis signal is obtained by re-sampling in the angular domain. Finally, the features of the envelope order signal are extracted, and a linear discriminant analysis (LDA) algorithm is used to fuse multiple indexes to generate a comprehensive feature reflecting the operating status of the planetary gearbox. The results of the simulation analysis and experimental verification show that the proposed method is effective in evaluating the operating state of the planetary gearbox under variable speed conditions. Compared with the traditional time–frequency ridge extraction method, the tacholess speed estimation method can improve the instantaneous speed estimation accuracy. The comprehensive index of envelope order completes the planetary gearbox state identification process, and a 95% classification accuracy rate is achieved.

Study on the Roller’s Thermal Stress of the Liquid Core Heavy Reduction Rolling Mill

2010 ◽  
Vol 29-32 ◽  
pp. 1380-1384 ◽  
Author(s):  
Deng Yue Sun ◽  
Yuan Fang Zhang ◽  
Xian Wen Zha ◽  
Wen Wu Liu ◽  
Hui Wen Ma
Keyword(s):  
Thermal Stress ◽  
Rolling Mill ◽  
Liquid Core ◽  
High Strength ◽  
Rolling Process ◽  
Analysis Method ◽  
Element Analysis ◽  
Finite Element Analysis Method ◽  
Thermal Stress Field ◽  
Selection Of

The key technologies of heavy reduction on liquid core of thick slab rolling mill are designing the roller structure and the selection of high temperature high strength materials. This paper using finite element analysis method compared the temperature field, thermal stress field and strain field. Two material 2Cr12NiMoWV and 5Cr4W5Mo2V and two structures which is roll-sleeve and built-up welding roll in rolling process are analyzed. The results show that the 5Cr4W5Mo2V roll-sleeve type roller has advantages.

scholarly journals Application of Vibration Signal Processing Methods to Detect and Diagnose Wheel Flats in Railway Vehicles

2021 ◽  
Vol 11 (5) ◽  
pp. 2151
Author(s):  
JaeSeok Shim ◽  
GeoYoung Kim ◽  
ByungJin Cho ◽  
JeongSeo Koo
Keyword(s):  
Signal Processing ◽  
Cross Correlation ◽  
Vibration Signal ◽  
Analysis Method ◽  
Order Analysis ◽  
Cepstrum Analysis ◽  
Cross Correlation Analysis ◽  
Train Speed ◽  
Wheel Flat ◽  
Signal Processing Methods

This paper studied two useful vibration signal processing methods for detection and diagnosis of wheel flats. First, the cepstrum analysis method combined with order analysis was applied to the vibration signal to detect periodic responses in the spectrum for a rotating body such as a wheel. In the case of railway vehicles, changes in speed occur while driving. Thus, it is difficult to effectively evaluate the flat signal of the wheel because the time cycle of the flat signal changes frequently. Thus, the order analysis was combined with the existing cepstrum analysis method to consider the changes in train speed. The order analysis changes the domain of the vibration signal from time domain to rotating angular domain to consider the train speed change in the cepstrum analysis. Second, the cross correlation analysis method combined with the order analysis was applied to evaluate the flat signal from the vibration signal well containing the severe field noise produced by the vibrations of the rail irregularities and bogie components. Unlike the cepstrum analysis method, it can find out the wheel flat size because the flat signal linearly increases to the wheel flat. Thus, it is more effective when checking the size of the wheel flat. Finally, the data tested in the Korea Railroad Research Institute were used to confirm that the cepstrum analysis and cross correlation analysis methods are appropriate for not only simulation but also test data.

scholarly journals CONSIDERATIONS ON THE DIFFUSE SEISMICITY ASSUMPTION

2015 ◽  
Vol 12 (2) ◽  
Author(s):  
Jorge Daniel Riera ◽  
Ignacio Iturrioz
Keyword(s):  
Steel Structures ◽  
Direct Analysis ◽  
Second Order ◽  
Effective Length ◽  
Order Effects ◽  
Analysis Method ◽  
Order Analysis ◽  
3D Space ◽  
Effective Length Method ◽  
Diffuse Seismicity

Second-order effects were historically included by the effective length method (K concept). All the studies about that methodology have been developed in frame plane, with regular rectangular frames. The new way to include those effects is the use of second-order analysis, direct analysis method or alternative simplified options. This methodology was included in ANSI AISC360 in the 2005 version and in the 2010 version. As before, the studies already developed for DAM analysis are in plane. In this paper, the K concept is revisited by numerical analysis, and extended to the 3D space. Using models of symmetric and non-symmetric industrial steel structures in plane, 3D stability analyses were developed, and the results were compared with plane behavior. Several conclusions and recommendations were exposed, resulting from the analyzed models. Keywords: Second-order analyses, steel structures, irregular 3D frames.

An importance order analysis method for causes of railway signaling system hazards based on complex networks

2018 ◽  
Vol 233 (4) ◽  
pp. 567-579 ◽  
Author(s):  
Jintao Liu ◽  
Keping Li ◽  
Wei Zheng ◽  
Jiebei Zhu
Keyword(s):  
Complex Networks ◽  
High Speed ◽  
Coefficient Matrix ◽  
Control Measures ◽  
Influence Coefficient ◽  
Analysis Method ◽  
Signaling System ◽  
Order Analysis ◽  
Better Than

The importance order of causes of a railway signaling system hazard is important for the arrangement of control measures for eliminating or controlling the system hazard. In order to obtain a reasonable importance order, a novel importance order analysis method based on complex networks is proposed in this article. In this article, to characterize the causes from a topological perspective, a comprehensive topology characteristic is proposed. It is built on the top of three typical topology characteristics with the weighted Euclidean distance. Then, an influence coefficient matrix is proposed to measure the causal influence between causes. Based on the proposed topology characteristic and matrix, an algorithm is designed to identify the importance order of causes. To verify the effectiveness of the proposed method, a case study on a Chinese high-speed railway signaling system hazard is performed. The results show that the proposed method is feasible for the arrangement of control measures to eliminate or control system hazards and performs better than the traditional complex network-based methods in terms of avoiding conflicting and rough results.

scholarly journals Compressive properties of Min-mod-type limiters in modelling shockwave-containing flows

2020 ◽  
Vol 42 (6) ◽  
Author(s):  
Guangning Li ◽  
Dinesh Bhatia ◽  
Jian Wang
Keyword(s):  
Independent Study ◽  
Analysis Method ◽  
Compressive Properties ◽  
Order Analysis ◽  
Compression Parameter ◽  
Boundary Layer Interaction ◽  
Poor Convergence ◽  
Solution Accuracy ◽  
Wave Boundary ◽  
Monotonicity Preserving

Abstract The long-ignored compressive properties of Min-mod-type limiter is investigated in this manuscript by demonstrating its potential in numerically modelling shockwave-containing flows, especially in shock wave/boundary layer interaction (SWBLI) problems. Theoretical studies were firstly performed based on Sweby’s total variation diminishing (TVD) limiter region and Spekreijse’s monotonicity-preserving limiter region to indicate Min-mod-type limiters’ compressive properties. The influence of limiters on the solution accuracy was evaluated using a hybrid-order analysis method based on the grid-independent study in three typical shockwave-containing flows. The conclusions are that, Min-mod-type limiter can be utilized as a dissipative and/or compressive limiter, but depending on the reasonable value of the compression parameter. The compressive Min-mod limiter tends to be more attractive in modelling shockwave-containing flows as compared to other commonly preferred limiters because of its stable computational process and its high-resolution predictions. However, the compressive Min-mod limiter may suffer from its slightly poor convergence, as that observed in other commonly accepted smooth limiters in modelling SWBLI problems.

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