Search Results - "Syahril Ramadhan"
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Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample
Published in IEEE transactions on industrial informatics (01-10-2020)“…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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Remaining useful life prediction using an integrated Laplacian-LSTM network on machinery components
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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Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review
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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4
Dynamic Analysis of Flexible Horizontal Plate Structure Using Metaheuristic Strategy-Based Advanced Firefly Algorithm
Published in Arabian journal for science and engineering (2011) (2024)“…The implementation of flexible plate structures in industrial settings presents a multitude of benefits, including enhanced efficiency and greater flexibility…”
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Low-Speed Bearing Fault Diagnosis Based on ArSSAE Model Using Acoustic Emission and Vibration Signals
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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Ensemble Classifier for Recognition of Small Variation in X-Bar Control Chart Patterns
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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Production planning approaches: a review from green perspective
Published in Environmental science and pollution research international (01-08-2023)“…There is an increasing concern about incorporating green criteria into production planning approaches. Production planning models that ignore green parameters…”
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Machinery fault diagnosis based on a modified hybrid deep sparse autoencoder using a raw vibration time-series signal
Published in Journal of ambient intelligence and humanized computing (01-04-2023)“…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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Extremely Low-Speed Bearing Fault Diagnosis Based on Raw Signal Fusion and DE-1D-CNN Network
Published in Journal of Vibration Engineering & Technologies (01-04-2024)Get full text
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Correction: Extremely Low-Speed Bearing Fault Diagnosis Based on Raw Signal Fusion and DE-1D-CNN Network
Published in Journal of Vibration Engineering & Technologies (01-04-2024)Get full text
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Merawat Nusantara: Kontemplasi Atas Kisah Kaum Saba’ Dalam Kitab Suci Umat Islam
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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Situation Analysis of Smoking Behavior and Tobacco Control in Blitar City
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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Multi-Fault Diagnosis Using Stacked Sparse Autoencoder Model
Published in 2019 2nd International Conference on Applied Engineering (ICAE) (01-10-2019)“…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 -
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Comparative analysis of optimization algorithm on DSAE model for bearing fault diagnosis
Published in 2021 IEEE International Conference on Sensors and Nanotechnology (SENNANO) (22-09-2021)“…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