Accenture Global Solutions Limited

Hitesh Bhagchandani

Rajarajan Thangavel Ramalingam

Arvind Maheswaran

Abhijit Kumar

Amartya Ray

Basavaraj Chidanandappa

Sunny Balani

Siddhartha Chakravarty

Sriharsha Sravan Karavadi

Neha Kagwad

Manish Kumar

Renuka R Jogade

Zakir Hussain

Mahadevaswamy Basavanna

A material failure forecasting system accesses historical failure data to forecasts future failures. The failure data of a material is analyzed using text processing techniques to identify failures and suspensions. The text processing techniques provide for identifying failures when fault words are associated with negations. A fault ontology establishes different failure modes that include primary, secondary and tertiary levels which enable identifying a sequence of failures. The failures thus identified are fitted to a data distribution selected from a plurality of data distributions. The parameters from the data distribution are used for simulating a demand profile for the material which considers interchangeability. Similarly failure data of the materials in an equipment can be analyzed and the reliability of the equipment can be estimated.

Forecasting failures of interchangeable parts

A machine learning (ML) based intermittent data processing system accesses a collection of intermittent data points, determines a data distribution associated with the collection and generates one or more calculated values based on the data distribution. A simulation can be employed to determine the accuracy of the calculated values based on which, the calculated values can be employed for further processing. The collection of intermittent data points is initially processed to determine if one or more of the data distribution identification, bootstrapping or variability capping techniques are to be applied in order to obtain the calculated values. The calculated values are used to generate visualizations and recommendations.

Distribution selection and simulation of intermittent data using machine learning (ML)

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Bengaluru, India

Hitesh Bhagchandani