Predictive Diagnosis of Data Read Systems
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Solution Overview
Problem
Current data storage devices provide limited and reactive feedback, making it difficult to diagnose issues with both the data read head and medium, especially in exchangeable media devices, leading to unnecessary replacements and lack of predictive maintenance.
Innovation Solution
A data read system with a diagnostic controller that measures and compares metrics of the read channel during signal processing against stored nominal values, generating warnings for potential problems, including those related to the data medium and read head quality, and providing remedial actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the controller reads known test data from a service track and compares against baseline values, then the controller can predict potential head failure, but the controller cannot diagnose problems with exchangeable data media and may incorrectly attribute medium quality issues to head deterioration
Solution Approach 1:
The patent segments the diagnosis process into two distinct modes: a test mode that reads known test data from a service track to assess read channel performance, and a normal mode that reads user data from exchangeable media. This segmentation allows the system to separately evaluate head condition versus medium condition, resolving the contradiction between head failure prediction and adaptability to exchangeable media.
Solution Approach 2:
The patent changes the input parameter from fixed known test data to variable unknown user data, allowing the diagnostic system to adapt to different exchangeable media while maintaining diagnostic capability through metric comparison against nominal values.
2Ease of operation
If the controller provides broad feedback indicating only the top-level cause of error, then the system is simple to operate, but the user cannot distinguish between medium damage and device failure leading to unnecessary replacements
Solution Approach 1:
The patent implements an enhanced feedback mechanism that provides both simple error indication and detailed diagnostic information. The controller measures metrics during signal processing, compares them against nominal values, and generates specific warnings about the nature of the problem (head deterioration, medium quality, spacing issues), enabling users to take appropriate remedial actions without unnecessary replacements.
Solution Approach 2:
The patent adds a new dimension to the feedback system by introducing metric measurement and comparison capabilities. Instead of仅提供简单的错误提示，the system now operates in multiple dimensions: error detection, metric measurement, nominal value comparison, and specific problem identification, transforming the feedback from one-dimensional (simple error message) to multi-dimensional (comprehensive diagnostic information).
3Reliability
If the controller measures readback signal amplitude and asymmetry to predict head failure, then the controller can identify potential problems, but the same metrics cannot distinguish between head dirtiness and head deterioration
Solution Approach 1:
The patent makes the metric measurement system universal by designing it to detect multiple types of problems (head deterioration, medium quality issues, spacing problems) using the same measurement infrastructure. The system measures metrics during normal signal processing and uses pattern recognition to distinguish between different problem types, enabling one system to serve multiple diagnostic functions.
Solution Approach 2:
The patent performs preliminary metric measurement and comparison during normal operation to establish baseline performance characteristics. By continuously monitoring metrics and comparing against nominal values, the system builds a profile of normal operation that enables later discrimination between different types of deviations, such as distinguishing temporary head dirtiness from permanent head deterioration.
Data Source
AI summary
A data read system comprising a read channel for processing a signal, and a diagnostic controller in communication with the read channel. The diagnostic controller is configured to measure at least one metric of the read channel during processing of a signal containing unknown data. The measured metric is then compared against a stored nominal metric and a warning is generated in response to a result of the comparison. In particular, the warning is generated only if the difference between the measured metric and the stored nominal metric exceeds a threshold.