main webpage W Topic Seismology Measurement Science and Technology • Vol 35 • No 1 An explainable deep learning approach for detection and isolation of sensor and machine faults in predictive maintenance paradigm 2023 Abstract The predictive health maintenance techniques identify the machine faults by analyzing the data collected by low-cost sensors assuming that sensors are free from any faults. However, aging and environmental condition cause sensors also be faulty, lead… Article Open Seismology Open Article Page

Seismology

Scientific study of earthquakes and propagation of elastic waves through a planet Seismology (; from Ancient Greek σεισμός ( seismós ) meaning "earthquake" and -λογία ( -logía ) meaning "study of") is the scientific study of earthquakes (or generally, quakes) and the propagation of elastic waves through the Earth or other planetary bodies. It also includes studies of earthquake environmental effects such as tsunamis as well as diverse seismic sources such as volcanic, tectonic, glacial, fluvial, oceanic, atmospheric, and artificial processes such as explosions. A related field that uses geology to infer information regarding past earthquakes is paleoseismology. A recording of Earth motion as a function of time is called a seismogram. A seismologist is a scientist who does research in seismology. … Critical Symbolic Virtual Narrative Open Seismology Open Article Page

Exploring foci of: Measurement Science and Technology • Vol 35 • No 1 An explainable deep learning approach for detection and isolation of sensor and machine faults in predictive maintenance paradigm 2023 Abstract The predictive health maintenance techniques identify the machine faults by analyzing the data collected by low-cost sensors assuming that sensors are free from any faults. However, aging and environmental condition cause sensors also be faulty, leading to incorrect interpretations of the collected data and subsequently resulting in erroneous machine health predictions. To mitigate this problem, this paper proposes a hybrid model that can differentiate between sensor and system faults. The data used for t… Open Article Page

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Explore Seismology W Topic Seismology Measurement Science and Technology • Vol 35 • No 1 An explainable deep learning approach for detection and isolation of sensor and machine faults in predictive maintenance paradigm 2023 Abstract The predictive health maintenance techniques identify the machine faults by analyzing the data collected by low-cost sensors assuming that sensors are free from any faults. However, aging and environmental condition cause sensors also be faulty, lead… Article Critical Symbolic Virtual Narrative Open Seismology Open Article Page