A fault diagnosis method and system for a solid state disk master control chip

CN122152584BActive Publication Date: 2026-07-21ZHEJIANG RUIZHAOXIN SEMICON TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG RUIZHAOXIN SEMICON TECH CO LTD
Filing Date
2026-05-08
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately identify potential faults in solid-state drive controller chips under complex operating environments. Furthermore, traditional methods are prone to misjudgments due to external environmental interference, making it difficult to build an adaptive fault diagnosis mechanism and affecting the timeliness and accuracy of fault warnings.

Method used

By collecting the main control chip's operation logs, latency distribution data, and multi-source information, a health status correlation pattern is constructed using time series analysis and clustering algorithms. Combined with decision tree and support vector machine algorithms, the diagnostic strategy is dynamically adjusted to filter out normal fluctuations, thereby achieving accurate fault location and risk assessment.

Benefits of technology

It improves the accuracy of fault identification under high load and heterogeneous environments, has strong anti-interference capabilities, and can adaptively adjust diagnostic strategies to achieve precise location of complex fault scenarios and comprehensive assessment of system health status.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of solid state disks, and discloses a fault diagnosis method and system for a solid state disk master control chip. The method comprises the following steps: collecting operation logs, delay distribution and multi-source information of the master control chip, generating a data set through time series analysis and extracting dynamic change characteristics; determining an association mode of a health state based on the characteristics and a clustering algorithm; when the mode shows that delay fluctuation exceeds a threshold value, adjusting a standard by fusing the multi-source information to identify potential abnormal fluctuation; integrating abnormal fluctuation and operation logs by using a decision tree algorithm to obtain an early warning index, constructing an adaptive model to update a diagnosis strategy; if the update involves a high load environment, filtering normal fluctuation through an anomaly detection mechanism to realize fault positioning; classifying and integrating fault-related multi-source information, evaluating overall system performance risks and generating a health state report. The application effectively improves the accuracy of fault early warning and the adaptability of diagnosis strategies of the master control chip of the solid state disk.
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