17972182. MONITORING TRANSFORMER CONDITIONS IN A POWER DISTRIBUTION SYSTEM simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

MONITORING TRANSFORMER CONDITIONS IN A POWER DISTRIBUTION SYSTEM

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Dzung Tien Phan of Pleasantville NY (US)

MONITORING TRANSFORMER CONDITIONS IN A POWER DISTRIBUTION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 17972182 titled 'MONITORING TRANSFORMER CONDITIONS IN A POWER DISTRIBUTION SYSTEM

Simplified Explanation

The abstract describes a patent application for a transformer monitoring system that analyzes sensor data to predict energy loss and failure rates of the transformer, ultimately determining the optimal time for replacement.

• The transformer monitoring system receives sensor data during transformer operation.
• Energy loss data is generated based on the sensor data to predict energy loss.
• A failure rate prediction model is trained using failure data to calculate failure probability distribution data.
• Replacement data is generated based on the energy loss data, failure probability distribution data, and transformer specification data to determine the best time for replacement.

Potential Applications

This technology can be applied in various industries where transformers are used, such as power generation, distribution, and industrial settings.

Problems Solved

1. Predicting energy loss and failure rates of transformers can help prevent unexpected downtime and costly repairs. 2. Determining the optimal time for replacement can improve overall efficiency and reliability of transformer systems.

Benefits

1. Increased reliability and efficiency of transformer systems. 2. Cost savings through proactive maintenance and replacement planning.

Potential Commercial Applications

Optimizing transformer maintenance schedules in power plants and industrial facilities.

Possible Prior Art

One possible prior art could be traditional transformer monitoring systems that rely on manual inspections and periodic maintenance schedules rather than predictive analytics based on sensor data.

How does the transformer monitoring system handle different types of transformers with varying specifications?

The system may need to be adaptable to different transformer models and configurations to provide accurate predictions and recommendations.

Can the system be integrated with existing transformer monitoring technologies?

It would be important to know if this system can work alongside or integrate with other monitoring systems already in place to enhance overall transformer performance and maintenance.

Original Abstract Submitted

An embodiment includes receiving, by a transformer monitoring system associated with a transformer, sensor data from one or more sensors during operation of the transformer. The embodiment also includes generating, by the transformer monitoring system, energy loss data representative of a predicted energy loss of the transformer based at least in part on the sensor data. The embodiment also includes training, by the transformer monitoring system, a failure rate prediction model using failure data, resulting in a trained failure rate prediction model that calculates failure probability distribution data indicative of a time at which a failure of the transformer is most likely to occur. The embodiment also includes generating, by the transformer monitoring system, replacement data representative of an optimal time for replacing the transformer based at least in part on the energy loss data, the failure probability distribution data, and specification data for the transformer.