Verfahren und Systeme zur Überwachung des Schmierölzustands mittels Fotoakustischer Modellierung

Details

Veröffentlichungs-Nr.

EP4321854

Aktenzeichen

EP23186391

Anmeldetag

19. Juli 2023

Veröffentlichung

17. September 2025

Erteilung

17. September 2025

Rechtsraum

EP

IPC

G01N29/04G06N5/01G06N7/01G06N20/10G01N21/17G01N29/44G01N33/28

Abstract

The disclosure relates generally to methods and systems for monitoring lubricant oil condition using a photoacoustic modelling. Conventional techniques in the art for checking the condition of the lubricant oil is laboratory based and thus time consuming, error prone and not efficient. The present disclosure discloses a photoacoustic simulation model which is developed utilizing a photonic model such as a Monte Carlo method-based optical simulation integrated with a finite element model such as a k-wave toolbox-based acoustic measurement. The photoacoustic simulation model of the present disclosure is used to obtain a photoacoustic signal of the lubricant oil sample and a set of statistical features are determined from the obtained photoacoustic signal. The determined set of statistical features are then used as a training data to develop a machine learning (ML) model which is used to classify a type of contamination of the test lubricating oil.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete