66 citations · 97 across the 6 of their papers we have counts for
6 papers
A systematic framework for the identification and statistical quantification of impulsivity in condition monitoring signals
Aleksandra Grzesiek, Justyna Witulska, Daniel Kuzio +3
This article proposes a comprehensive framework for the identification and statistical quantification of impulsive behavior in signals, with a primary focus on condition monitoring…
A procedure for assessing of machine health index data prediction quality
Daniel Kuzio, Radosław Zimroz, Agnieszka Wyłomańska
The paper discusses the challenge of evaluating the prognosis quality of machine health index (HI) data. Many existing solutions in machine health forecasting involve visually asse…
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks
Govind Vashishtha, Sumika Chauhan, Mert Sehri +4
The growing complexity of machinery and the increasing demand for operational efficiency and safety have driven the development of advanced fault diagnosis techniques. Among these,…
Applications of robust statistics for cyclostationarity detection in non-Gaussian signals for local damage detection in bearings
Wojciech Żuławiński, Jérôme Antoni, Radosław Zimroz +1
Signals with periodic characteristics are ubiquitous in real-world applications. One of these areas is condition monitoring, where the vibration signals from rotating machines natu…
Non-negative tensor factorization-based dependence map analysis for local damage detection in presence of non-Gaussian noise
Anna Michalak, Justyna Hebda-Sobkowicz, Anil Kumar +3
The time-frequency map (TFM) is frequently used in condition monitoring, necessitating further processing to select an informative frequency band (IFB) or directly detect damage. H…
Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy
Govind Vashishtha, Sumika Chauhan, Surinder Kumar +3
The worm gearbox is a high-speed transmission system that plays a vital role in various industries. Therefore it becomes necessary to develop a robust fault diagnosis scheme for wo…