6 Result(s)
within
Sławomir Nowaczyk
Computer Appl. in Social and Behavioral Sciences
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Chapter and Conference Paper
Towards Geometry-Preserving Domain Adaptation for Fault Identification
In most industries, the working conditions of equipment vary significantly from one site to another, from one time of a year to another, and so on. This variation poses a severe challenge for data-driven fault...
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Chapter and Conference Paper
curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection
Recently and due to the advances in sensor technology and Internet-of-Things, the operation of machinery can be monitored, using a higher number of sources and modalities. In this study, we demonstrate that Mu...
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Chapter and Conference Paper
A Systematic Approach for Tracking the Evolution of XAI as a Field of Research
The increasing use of AI methods in various applications has raised concerns about their explainability and transparency. Many solutions have been developed within the last few years to either explain the mode...
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Chapter and Conference Paper
Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses
In this work-in-progress paper two types of physics-based models, for accessing elastic and non-elastic air leakage processes, were evaluated and compared with conventional statistical methods to detect air le...
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Chapter and Conference Paper
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set
This study applies a data-driven anomaly detection framework based on a Long Short-Term Memory (LSTM) autoencoder network for several subsystems of a public transport bus. The proposed framework efficiently de...
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Chapter and Conference Paper
Forklift Truck Activity Recognition from CAN Data
Machine activity recognition is important for accurately estimating machine productivity and machine maintenance needs. In this paper, we present ongoing work on how to recognize activities of forklift trucks ...
