AI empowered a defense unit to create predictive alerts for potential equipment failures

Summary: 

An ML solution analyzed real-time data from IoT sensors, allowing a defense unit to predict device failures with over 92% accuracy.

Client: 

The Indian defense unit

Problem Statement: 

The Indian defense unit aimed to lower maintenance costs for their electronic and electrical devices. With years of equipment data on hand, they required a cohesive strategy to effectively utilize this information.

Results: 

• Achieved 92% accuracy in predicting device failures which included weapons as well. 
• Transition of the defense unit from preventive to predictive maintenance.

AI Solution Overview:

For the needs of the Indian defense unit, Eugenie implemented a digital transformation strategy by integrating IoT sensors with existing manual data. The AI-powered platform analyzed large volumes of data, including years of operational logs and original equipment manufacturer (OEM) information. 

Eugenie’s ML solution processed real-time IoT data to generate predictive alerts for potential device failures or decreased efficiency and provided prescriptive alerts with root-cause analysis. 

A user-friendly dashboard was used to monitor real-time device performance, offering early warnings through preemptive alerts.

References: 

1. Eugenie enabled a defense unit to predict device failures with more than 92% accuracy. https://indiaai.gov.in/case-study/eugenie-enabled-a-defense-unit-to-predict-device-failures-with-more-than-92-accuracy
2. Fractal Announces Merger of Eugenie.ai to Bolster AI-Powered Climate Solutions. https://www.prnewswire.com/in/news-releases/fractal-announces-merger-of-eugenieai-to-bolster-ai-powered-climate-solutions-302183085.html

Industry: Defense

Vendor: Eugenie

Client: The Indian defense unit

Publication Date: 2020