Computational Effective Fault Detection by Means of Signature Functions.

ABSTRACT: The paper presents a computationally effective method for fault detection. A system's responses are measured under healthy and ill conditions. These signals are used to calculate so-called signature functions that create a signal space. The current system's response is projected into this space. The signal location in this space easily allows to determine the fault. No classifier such as a neural network, hidden Markov models, etc. is required. The advantage of this proposed method is its efficiency, as computing projections amount to calculating dot products. Therefore, this method is suitable for real-time embedded systems due to its simplicity and undemanding processing capabilities which permit the use of low-cost hardware and allow rapid implementation. The approach performs well for

SUBMITTER: Baranski P 

PROVIDER: S-EPMC4780824 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature