An improved cepstrum analysis method to diagnose faults in bearings

Author(s):  
Jianchun Guo ◽  
Yanting Li ◽  
Jiawei Xiang
2021 ◽  
Vol 11 (5) ◽  
pp. 2151
Author(s):  
JaeSeok Shim ◽  
GeoYoung Kim ◽  
ByungJin Cho ◽  
JeongSeo Koo

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.


Planta Medica ◽  
2007 ◽  
Vol 73 (09) ◽  
Author(s):  
C Chrubasik ◽  
T Maier ◽  
M Luond ◽  
A Schieber

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Hao Zhang ◽  
Yue Li ◽  
Cheng-Qiang Zong ◽  
Chuan-Jin Ou ◽  
Bing-Tao Li

Author(s):  
Priyastiwi Priyastiwi

This study aimed to examine the effect of demographic factors and organizational climate on the intention of internal whistleblowing. The sample was an accountant who had worked as an auditor. Data collection methods using questionnaires with financial statement fraud case scenarios. This research use ANOVA data analysis method to examine demographic factors include age, gender, and experience, as well as organizational climate on the intention of internal whistleblowing. The results showed only the experience of demographic factors that influence internal whistleblowing. Besides internal whistlelowing also influenced by organizational climate in the company.Keyword: Demographics, Organizational Climate, Whistleblowing


Liquidity ◽  
2018 ◽  
Vol 5 (2) ◽  
pp. 95-105
Author(s):  
Dede Dahlan

There are many understanding of society, that cash waqf it should not be legal. So is the trust factor of people's money management institutions waqf (Nazhir) is still a constraint. Research conducted in Tabung Wakaf Indonesia (TWI) and Wakaf Al Azhar this analysis method, namely the principles of Good Corporate Governance (GCG). Here researchers using purposive sampling, followed by giving a score using the Likert Scale. To determine whether the data obtained in the field is valid or not, the researchers used a method tri angular source. The results of the assessment of GCG in TWI and Wakaf Al-Azhar obtain a total score of at Tabung Wakaf Indonesia amounting to 3.15. Then the bias is said that the implementation of GCG at TWI and Wakaf Al-Azhar declared "GOOD ENOUGH". While the results of the evaluation tri angular mention, that the data obtained from the results of research in the field both TWI and in Wakaf Al-Azhar, when compared with the corporate governance principles can be declared invalid according to the KNKG.


2017 ◽  
pp. 142-149 ◽  
Author(s):  
E. Pitukhin ◽  
S. Shabaeva ◽  
I. Stepus ◽  
D. Moroz

The paper deals with comparative analysis of occupations in the regional labor market. Occupation is treated as a multi-dimensional space of characte- ristics, whereas a scalar form of a characteristic makes it possible to carry out a comparative analysis of occupations. Using cluster analysis of a pilot region indicators five meaningfully interpretable clusters of occupations were identified, reflecting their regional specificity.


2020 ◽  
pp. 119-131

Research highlights the importance of potato crop, which occupies a prominent food and economic status in food security besides rice, wheat and corn at the local and global level. Despite the expansion of the cultivation of potato crop in Iraq in general and Ameriyah district in particular However, potato productivity remains substandard, this may be due to a lack of knowledge of the most efficient varieties and not to use productive resources at the levels at which technical, specialized and economic efficiency is achieved. Therefore, the aim of the research is to determine the technical, specialized and economic efficiency according to the cultivated seed category. The data envelope analysis (DEA) method was used to estimate technical, specialized and economic efficiency, assuming constant and variable capacity returns. As a result of the study, the Safrana variety achieved the highest average technical efficiency according to the stability of the yield and capacity efficiency in addition to achieving the highest average specialized and economic efficiency, The Lapadia variety achieved the highest average technical efficiency, assuming that capacity returns have changed. Therefore, we recommend the adoption of items that achieve higher efficiency and the need to redistribute the elements of production better and Achieving the optimum levels at which technical, specialized and economic efficiency is achieved and saving what has been wasted.


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