3 results about "Recursive analysis" patented technology

The application discloses a gear box fault diagnosis method and system based on scatter recurrence analysis, and belongs to the technical field of wind turbine fault diagnosis, and comprises the following steps: collecting vibration signals of a wind turbine gear box under different health states; utilizing scatter recurrence analysis to represent sensitive fault features in the gear box vibration signals from multiple dimensions; proportionally dividing the multi-dimensional features into a training set and a test set; inputting the training set to train an intelligent fault diagnosis model based on a support vector machine; and finally inputting the test set data into the trained SVM to obtain a gear box fault diagnosis result. The application combines nonlinear dynamics and machine learning to provide a diagnosis method and system capable of accurately identifying various faults of a wind turbine gear box, provides a reference for realizing efficient operation and maintenance of the wind turbine, and guarantees reliable and stable operation of the wind turbine.

This invention discloses a method, apparatus, electronic device, and storage medium for generating risk identification reports, relating to the field of financial technology. The method includes: identifying indicator names by parsing unstructured text in a report template and matching them with a metadata database to construct a target indicator set; performing quality pruning and threshold verification on the data, removing invalid fields and marking abnormal indicator states; constructing a business dependency directed acyclic graph with abnormal indicators as root nodes; and achieving dimensional and dependency attribution through recursive analysis to form assembled data containing attribution fragments. Data completeness is double-verified to generate a structured completeness summary. Combining the assembled data, the completeness summary, and output format constraints, a large model is invoked to generate a risk identification report, clearly marking the locations of missing data. This invention effectively solves the problems of data uncertainty, high interaction costs, resource waste, and analysis delays in existing technologies.

The malicious shortcut file analysis and threat detection method of heuristic recovery mechanism, the analysis engine guided by resilience, adopts the dynamic byte sequence processing mechanism to adapt to the underlying data, uses the sliding window algorithm to accurately locate the variable length field terminator to extract the hidden string, and through the recursive analysis strategy, deeply traverses the undocumented nested structure and extension block. In the analysis process, the analysis exception is regarded as a threat feature for archiving, and the parameter adaptive iterative extraction strategy is adopted to ensure the full acquisition of data. Based on the complete analysis result, a three-dimensional threat model covering deception, evasion and execution is constructed, and the deep mapping of the malicious shortcut file from the binary structure to the logical behavior is realized. The present application not only significantly improves the analysis success rate of variant samples, but also effectively extracts the fingerprint characteristics of automatically generated samples, providing key technical support for modern shortcut-based defense confrontation.