Breakdown prediction device, breakdown prediction method, and breakdown prediction program

Abstract

Provided is a breakdown prediction device which is provided with a vibration measurement unit for measuring vibrations generated from a monitored target apparatus and a signal processing unit for performing a breakdown prediction in the case where the vibration measurement unit measures specific vibrations, the maximum amplitude value of which exceeds an upper limit amplitude threshold value, and an amplitude value of which at the time when a specified period of time elapses from when the upper limit amplitude threshold value is exceeded falls below a lower limit amplitude threshold value.

Description

technical field [0001] The present invention relates to a failure prediction device, a failure prediction method, and a failure prediction program for predicting failures of disk storage devices such as magnetic disk devices and magneto-optical disk devices, or devices using mechanical mechanisms such as cooling fans and piezoelectric backlight power supplies. Background technique [0002] The development of Internet technology has contributed to the popularization of digital information technology in precision electronic equipment such as computer devices, and has improved user convenience. Disk storage devices such as the above-mentioned magnetic disk devices and magneto-optical disk devices, or devices using mechanical mechanisms such as cooling fans and piezoelectric backlight power supplies are mounted on electronic equipment such as computers. For example, a magnetic disk drive for a computer is composed of a recording medium, a magnetic head, a slider, a head arm, a v...

AI Technical Summary

Problems solved by technology

However, disk storage devices have a higher failure rate than semiconductor storage devices because they have more mechanical components and parts.

Due to failure or sudden failure caused by the aging of the mechanism and mechanism parts accompanied by multiple actions, important information and data will be lost, and there is a risk of economic and psychological losses for users.

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