Çok Modelli Kestirimci Bakım: Genel Bakış ve Doğrusal Sistem Perspektifi

Yıl 2024, Cilt: 39 Sayı: 4, 1039 - 1052, 25.12.2024

Uğur Yıldırım , Shahin Mammadov Hüseyin Afşer

https://doi.org/10.21605/cukurovaumfd.1606126

Öz

Çok modelli bakım tahmini, daha iyi arıza öngörüleri sağlamak amacıyla farklı girdilerden ve modellerden gelen bilgilerin birleşik bir şekilde işlendiği, son zamanlarda trend olan bir yaklaşımdır. Çok modelli sistemler, etiketli veya etiketsiz sensör gözlemlerinden, bilgi tabanlarından ve cihaza özgü kısıtlamalardan akıllıca yararlanmayı amaçlamaktadır. Bu yazıda hem tek hem de çoklu model yaklaşımlarına genel bir bakış sunuyoruz ve doğrusal bir sistem perspektifi sunuyoruz. Önerilen sistem, ölçüm alanının doğrusal sınırlar aracılığıyla nominal ve arıza operasyon bölgelerine bölünmesini ve kalan faydalı ömür hesaplamalarını sağlamak için sınırlardan uzaklıkların takip edilmesini sağlayacak şekilde doğrusal sınıflandırma ve tahmin yöntemlerinden yararlanır. Benimsenen doğrusal yaklaşım, tasarım sürecini basitleştirir ve tahmin performansını artırmak için farklı yöntemleri verimli bir şekilde birleştirebilir. Ayrıca, sunulan metot üretilmiş bir veri setinde simüle edildi.

Anahtar Kelimeler

Bakım tahmini, Lineer sınıflandırma, Çoklu-model yaklaşımı, Kalan faydalı ömür

Multi-Model Predictive Maintenance: Overview and A Linear System Perspective

Öz

Multi-model predictive maintenance is a recently trending approach where information from different inputs and models are processed in a unified fashion in order to provide better failure prognostics. Multi-model systems aim to make clever use of labeled or unlabeled sensor observations, knowledge bases and device specific constraints. In this paper we present an overview for both single and multi-model approaches and provide a linear system perspective. The proposed system leverages linear classification and prediction methods such that the measurement space is partitioned via linear boundaries into nominal and failure operation regions and the distances from boundaries are tracked for providing remaining useful life calculations. The adopted linear approach simplifies the design process and it can efficiently incorporate different modalities in order to enhance the prediction performance. Also, the proposed method is simulated in generated dataset.

Anahtar Kelimeler

Predictive maintenance, Linear classification, Multi-model approaches, Remaining useful life

Kaynakça

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