Integration of Fuzzy Ontologies and Neural Networks in the Detection of Time Series Anomalies

Vadim Moshkin (), Dmitry Kurilo and Nadezhda Yarushkina
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Vadim Moshkin: Department of Information Systems, Ulyanovsk State Technical University, Severny Venets Str., 32, Ulyanovsk 432027, Russia
Dmitry Kurilo: Department of Information Systems, Ulyanovsk State Technical University, Severny Venets Str., 32, Ulyanovsk 432027, Russia
Nadezhda Yarushkina: Department of Information Systems, Ulyanovsk State Technical University, Severny Venets Str., 32, Ulyanovsk 432027, Russia

Mathematics, 2023, vol. 11, issue 5, 1-13

Abstract: This paper explores an approach to solving the problem of detecting time series anomalies, taking into account the specifics of the subject area. We propose a method based on the integration of a neural network with long short-term memory (LSTM) and Fuzzy OWL (Fuzzy Web Ontology Language) ontology. A LSTM network is used for the mathematical search for anomalies in the first stage. The fuzzy ontology filters the detection results and draws an inference for decision making in the second stage. The ontology contains a formalized representation of objects in the subject area and inference rules that select only those anomaly values that correspond to this subject area. In the article, we propose the architecture of a software system that implements this approach. Computational experiments were carried out on free data of technical characteristics of drilling rigs. The experiments showed high efficiency, but not the maximum efficiency of the proposed approach. In the future, we plan to select a more efficient neural network architecture for mathematical anomaly detection. We also plan to develop an algorithm for automatically filling the rules of inference into the ontology when analyzing text sources.

Keywords: time series; fuzzy ontology; Fuzzy OWL; anomaly; LSTM; SWRL; inference (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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