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Utilize line voltage and current historical data to predict and proactively alert component wearability failures

IP.com Disclosure Number: IPCOM000248809D
Publication Date: 2017-Jan-12
Document File: 2 page(s) / 32K

Publishing Venue

The IP.com Prior Art Database

Abstract

Described is an invention that utilizes voltage data and current historical data to predict and proactively alert component wearability failures.

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This is the abbreviated version, containing approximately 77% of the total text.

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Utilize line voltage and current historical data to predict and proactively alert component wearability failures

Described is an invention using currently available information to prevent an action which would

result in a hardware failure. For example, you are stopping actions that could cause the loss of

access to the system. The solution is to collect line voltage and current historical data and

temperature spikes/trends to determine anomalies of the component to identify, predict, and

proactively alert the user when the hardware is potentially in acceleration of wearing out. The

advantage is that currently there is no known way to detect early acceleration wear-out of a

component, and the proposed idea will provide early waning of wear-out to mollify the problem

prior to system-down. For example, the component can fail, but system is still running, and one

does not want the customer to power down until they have, in hand, the replacement part. The

invention works as follows:

1) The system collects the detected voltage drift data and stores it into a persistent storage.

2) The system collects the detected current drift data and stores it into persistent storage.

3) The system collects the detected temperature anomaly or spike and used to determine the

trend.

4) The system collects other data that provides data to show the increased current density; for

example, power cycle count.

5) The system will periodically and during IPLs compare normal state to the current state to...