Showing 1 - 5 results of 5 for search '"Vibration"', query time: 0.06s Refine Results
  1. 1

    Improvement of adaptive GAs and back propagation ANNs performance in condition diagnosis of multiple bearing system using grey relational analysis by Wulandhari, Lili A., Wibowo, Antoni, Desa, Mohammad I.

    Published 2014
    “…Condition diagnosis of multiple bearings system is one of the requirements in industry field, because bearings are used in many equipment and their failure can result in total breakdown.Conditions of bearings commonly are reflected by vibration signals data.In multiple bearing condition diagnosis, it will involve many types of vibration signals data; thus, consequently, it will involve many features extraction to obtain precise condition diagnosis.However, large number of features extraction will increase the complexity of the diagnosis system.Therefore, in this paper, we presented a diagnosis method which is hybridization of adaptive genetic algorithms (AGAs), back propagation neural networks (BPNNs), and grey relational analysis (GRA) to diagnose the condition of multiple bearings system.AGAs are used in the diagnosis algorithm to determine the best initial weights of BPNNs in order to improve the diagnosis accuracy.In addition, GRA is applied to determine and select the dominant features from the vibration signal data which will provide good diagnosis of multiple bearings system in less features extraction.The experiments results show that AGAs-BPNNs with GRA approaches can increase the accuracy of diagnosis in shorter processing time, compared with the AGAs-BPNNs without the GRA.…”
    Article
  2. 2

    Improvement of adaptive GAs and Back propagation ANNs performance in condition diagnosis of multiple bearing system using grey relational analysis by Wulandhari, Lili A., Wibowo, Antoni, Desa, Mohammad I.

    Published 2014
    “…Conditions of bearings commonly are reflected by vibration signals data.In multiple bearing condition diagnosis, it will involve many types of vibration signals data; thus, consequently, it will involve many features extraction to obtain precise condition diagnosis.However, large number of features extraction will increase the complexity of the diagnosis system.Therefore, in this paper, we presented a diagnosis method which is hybridization of adaptive genetic algorithms (AGAs), back propagation neural networks (BPNNs), and grey relational analysis (GRA) to diagnose the condition of multiple bearings system. …”
    Article
  3. 3

    English language readability task performance in a mobile setting - the effect of gender by Mallick, Zulquernain

    Published 2007
    “…A stimulus was presented on a lap-top in both cases. Vibration was assessed on the basis of ISO 2631-1 (1997) guideline. …”
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  4. 4

    Green Site Management Practices in the Malaysian Construction Sites by Jing, Khoo Terh, Mohd Shafiei, Mohd Wira, Yee, Ha Chin, Ismail, Radzi

    Published 2024
    “…The results reveal that land control, construction site waste management, dust, noise, and vibration control, and a green and conducive environment were considered green development in the construction industry. …”
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    Article
  5. 5

    Smart cane: Assistive cane for visually-impaired people by Abd. Wahab, Mohd Helmy, A. Talib, Amirul, A.Kadir, Herdawatie, Johari, Ayob, A., Noraziah, M. Sidek, Roslina, Abdul Mutalib, Ariffin

    Published 2011
    “…The study hypothesizes that a smart cane that alerts visually-impaired people over obstacles in front could help them in walking with less accident.The aim of the paper is to address the development work of a cane that could communicate with the users through voice alert and vibration, which is named Smart Cane.The development work involves coding and physical installation.A series of tests have been carried out on the smart cane and the results are discussed.This study found that the Smart Cane functions well as intended, in alerting users about the obstacles in front.…”
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    Article