Search Results - "Syahril Ramadhan"

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  1. 1

    Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample by Saufi, Syahril Ramadhan, Ahmad, Zair Asrar Bin, Leong, Mohd Salman, Lim, Meng Hee

    “…Massive volumes of data are needed for deep learning (DL) models to provide accurate diagnosis results. Numerous studies of fault diagnosis systems have…”
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    Journal Article
  2. 2

    Remaining useful life prediction using an integrated Laplacian-LSTM network on machinery components by Mohd Saufi, Mohd Syahril Ramadhan, Hassan, Kamarul Arifin

    Published in Applied soft computing (01-11-2021)
    “…Accurate remaining useful life (RUL) analysis of a machinery system is of great importance. Such systems work in long-term operations in which unexpected…”
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    Journal Article
  3. 3

    Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review by Saufi, Syahril Ramadhan, Ahmad, Zair Asrar Bin, Leong, Mohd Salman, Lim, Meng Hee

    Published in IEEE access (2019)
    “…In the age of industry 4.0, deep learning has attracted increasing interest for various research applications. In recent years, deep learning models have been…”
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    Journal Article
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    Low-Speed Bearing Fault Diagnosis Based on ArSSAE Model Using Acoustic Emission and Vibration Signals by Saufi, Syahril Ramadhan, Ahmad, Zair Asrar Bin, Leong, Mohd Salman, Lim, Meng Hee

    Published in IEEE access (2019)
    “…The development of rolling element bearing fault diagnosis systems has attracted a great deal of attention due to bearing components having a high tendency…”
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    Journal Article
  6. 6

    Ensemble Classifier for Recognition of Small Variation in X-Bar Control Chart Patterns by Alwan, Waseem, Ngadiman, Nor Hasrul Akhmal, Hassan, Adnan, Saufi, Syahril Ramadhan, Mahmood, Salwa

    Published in Machines (Basel) (01-01-2023)
    “…Manufacturing processes have become highly accurate and precise in recent years, particularly in the chemical, aerospace, and electronics industries. This has…”
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    Journal Article
  7. 7

    Production planning approaches: a review from green perspective by Qasim, Muhammad, Wong, Kuan Yew, Saufi, Mohd Syahril Ramadhan Mohd

    “…There is an increasing concern about incorporating green criteria into production planning approaches. Production planning models that ignore green parameters…”
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    Journal Article
  8. 8

    Machinery fault diagnosis based on a modified hybrid deep sparse autoencoder using a raw vibration time-series signal by Saufi, Syahril Ramadhan, Isham, Muhammad Firdaus, Ahmad, Zair Asrar, Hasan, M. Danial Abu

    “…Intelligent fault diagnosis (IFD) is an effective system to ensure the safe operation of mechanical components such as bearings, gears, and blades. The main…”
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    Journal Article
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    Merawat Nusantara: Kontemplasi Atas Kisah Kaum Saba’ Dalam Kitab Suci Umat Islam by Nadirsah Hawari, Arifin Arifin, A Yuda Ath Thoriq, Fina Afifatur Rahma, Syahril Ramadhan, Yelvi Mai Tano Saputri

    Published in Al-Adyan (01-11-2019)
    “…This paper tries to explore a noble lesson from a life journey of a nation that has experienced glory in managing their lives at that time. The Saba 'with all…”
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    Journal Article
  13. 13

    Situation Analysis of Smoking Behavior and Tobacco Control in Blitar City by Dedi Saifulah, Novita Ana Anggraini, Syahril Wahyu Ramadhan

    Published in Journal of nursing practice (Online) (28-10-2023)
    “…Background: The problem of smoking is still a national problem that is continuously being addressed, because it involves various aspects of problems in life,…”
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    Journal Article
  14. 14

    Multi-Fault Diagnosis Using Stacked Sparse Autoencoder Model by Saufi, Syahril Ramadhan, Bin Ahmad, Zair Asrar, Leong, Mohd Salman, Lim, Meng Hee

    “…Fault detection and diagnosis (FDD) of machinery components allow the prevention of unexpected failure. The unexpected failure causes a long downtime and…”
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    Conference Proceeding
  15. 15

    Comparative analysis of optimization algorithm on DSAE model for bearing fault diagnosis by Saufi, Syahril Ramadhan, Hussin Ab Talib, Mat, Bin Ahmad, Zair Asrar, Meng Hee, Lim, Leong, Mohd Salman, Md Idris, Mohd Haffizzi Bin

    “…A rolling-element bearing is one of the most vital components in machinery and maintaining the bearing health condition is very important. Intelligent fault…”
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    Conference Proceeding