Diagnostics of analog systems using Artificial Neural Networks
Piotr Bilski · Pomiary, Automatyka, Robotyka · 2017
The paper presents the diagnostic applications of artificial neural networks (ANN).Aims and problems present in the contemporary diagnostics are introduced.The structure of the artificial intelligence-based system is presented and discussed in detail.Various approaches to design the on-line fault detection and location system using artificial intelligence approaches are introduced.The generic architecture of the ANN and its variations are presented.Next, their diagnostic applications, advantages and drawbacks are discussed.Application of RBF ANN-based diagnostic module to detect and identify faults of the 5th order lowpass filter is presented.Finally, usability and limitations of the ANN-based diagnostic system are provided.°Ƭ˿˹Ɂʁƞʊƕ