The paper presents a new method of predicting the remaining useful life technical devices. proposed soft computing approach bridges gap between analytical and data-driven health prognostic approaches. Whilst former ones are based on classical exponential shape degradation, latter learn degradation behavior from observed historical data. As result fusion, practical for calculating components’ is...

Gas rectification columns are process apparatuses which very important part of each onshore plant. Sudden failure these types causes huge daily losses, while fluid leakage can be dangerous for the people and hazardous environment. For that reason, a regular correct examination column is great importance continual leading. Together with detailed column, risk-based inspection was applied to maxim...

Remaining useful life prediction of a milling tool is one the determinants in making scientific maintenance decision for CNC machine tool. Predicting RUL accurately can improve machining efficiency and quality product. Deep learning methods have strong capability are extensively used. Multiscale CNN, typical deep model prediction, has large number parameters because its parallel convolutional p...

Abstract Nowadays, new challenges around increasing production quality and productivity, decreasing energy consumption, are growing in the manufacturing industry. In order to tackle these challenges, it is of vital importance monitor health critical components. machine tool sector, one main aspects wear cutting tools, as affects directly fulfillment tolerances, scrap, etc. Besides, prediction r...

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