High-Frequency Assisted Element Malfunction Detection
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Solution Overview
Problem
Conventional disk drives with high-frequency assisted elements for magnetic recording lack a mechanism to detect oscillation degradation, leading to potential head crashes and data corruption due to undetected element failure, which can result in operational failures.
Innovation Solution
A disk storage apparatus with a magnetic head, detector, and decision module that monitors the electrical resistance of the high-frequency assisted element, allowing for the detection of malfunction through time axis data analysis and enabling timely intervention to prevent data loss and head crashes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-frequency assisted recording is implemented to increase recording density and capacity, then recording performance is improved, but the risk of element destruction and head crash increases
Solution Approach 1:
The system performs preliminary monitoring of electrical resistance values of the high-frequency assisted element during recording operations. By detecting resistance changes before catastrophic failure occurs, the system can take preventive actions such as stopping recording operations or alerting users, thereby avoiding head crashes and data loss while maintaining high recording density capabilities
Solution Approach 2:
The system continuously monitors the electrical resistance of the high-frequency assisted element and uses this feedback information to assess element health status. The monitoring unit detects resistance variations that indicate element degradation, and this feedback enables the system to adjust operations or trigger warnings before complete element failure occurs
2Productivity
If continuous recording operations are performed to maximize productivity, then data throughput is improved, but the likelihood of element destruction increases
Solution Approach 1:
The monitoring system continuously tracks electrical resistance values during recording operations to detect early signs of element degradation. By identifying resistance changes before catastrophic failure, the system can interrupt recording operations proactively, preventing element destruction and enabling data rescue while maintaining high productivity during normal operation
Solution Approach 2:
The system performs self-diagnosis by monitoring its own component health through electrical resistance measurements. This self-monitoring capability allows the system to detect element degradation autonomously and trigger appropriate protective actions without external intervention, ensuring continuous reliable operation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively detects oscillation degradation in the high-frequency assisted element, preventing data corruption and head crashes by allowing for early intervention and data rescue, thereby ensuring the continued operation of the disk drive.
Implementation Method 1
a detector configured to detect an electrical resistance of the high-frequency assisted element
Implementation Method 2
a magnetic head having a high-frequency assisted element disposed close to a main magnetic pole that generates a recording magnetic field for perpendicular magnetic recording, the high-frequency assisted element applying a high-frequency magnetic field onto a magnetic disk
Data Source
AI summary
According to one embodiment, a disk storage apparatus includes a magnetic head, a detector, a calculator, and a decision module. The magnetic head has a high-frequency assisted element disposed close to a main magnetic pole that generates a recording magnetic field for perpendicular magnetic recording, the high-frequency assisted element applying a high-frequency magnetic field onto a magnetic disk during data recording. The detector detects an electrical resistance of the high-frequency assisted element. The calculator calculates time axis data indicative of a variation, on a time axis, in the electrical resistance value detected by the detector. The decision module determines whether the high-frequency assisted elements is malfunctioning based on the time axis data.