一种故障分析模型训练方法、故障分析方法及装置
By fine-tuning and training the initial fault analysis model and adjusting its parameters, and by verifying it with a knowledge base of training samples, a fault analysis model that is efficient and accurate was constructed. This solves the problem of time-consuming and inefficient manual review in existing technologies, and enables accurate fault analysis and solution generation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING QIYI CENTURY SCI & TECH CO LTD
- Filing Date
- 2024-09-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing fault handling methods require a large amount of manual review, which is time-consuming and inefficient, and may not accurately recreate the error scenario, resulting in an imprecise solution.
By acquiring an initial fault analysis model, fine-tuning training is performed using the first sample log and the first labeled fault analysis results to construct a pre-trained fault analysis model. The accuracy of the model is then verified using the training sample knowledge base, and parameters are adjusted to obtain more accurate fault analysis instructions and models.
It enables efficient fault analysis without manual intervention, can more accurately reconstruct error scenarios and provide precise solutions, thus improving the efficiency and accuracy of fault analysis.
Smart Images
Figure CN119128524B_ABST