公开(公告)号：US20240068934A1

公开(公告)日：2024-02-29

申请号：US18355266

申请日：2023-07-19

Applicant: Tata Consultancy Services Limited

Inventor： Subhasri CHATTERJEE ,  Abhijit GOREY ,  Arijit SINHARAY ,  Chirabrata BHAUMIK ,  Tapas CHAKRAVARTY ,  Supriya GAIN ,  Arpan PAL

IPC: G01N21/17 ,  G01N33/28

CPC classification number: G01N21/1702 ,  G01N33/2888 ,  G01N2201/06113

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.