Method of detecting anomalies in physical system and corresponding microcontroller and computer program product
The disclosure relates to a method of detecting anomalies of a physical system and a corresponding microcontroller and computer program product. A computer-implemented method for generating a model for anomaly detection in a system includes obtaining a matrix of learning data corresponding to normal...
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| Main Authors | , |
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| Format | Patent |
| Language | Chinese English |
| Published |
17.12.2024
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| Subjects | |
| Online Access | Get full text |
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| Summary: | The disclosure relates to a method of detecting anomalies of a physical system and a corresponding microcontroller and computer program product. A computer-implemented method for generating a model for anomaly detection in a system includes obtaining a matrix of learning data corresponding to normal operation of the system, decomposing the matrix of learning data into singular values of the matrix of learning data, calculating a new basis, defining a maximum Mahalanobis distance threshold representing a limit of normal operation of the system, and generating a model for anomaly detection in the system. And defining an anomaly detection model from the new basis and from the maximum Mahalanobis distance threshold.
本公开涉及检测物理系统的异常的方法以及对应的微控制器和计算机程序产品。一种由计算机实现的用于生成用于系统中的异常检测的模型的方法,包括获得与系统的正常操作对应的学习数据矩阵,将学习数据矩阵分解成学习数据的矩阵的奇异值,计算新的基,定义表示系统的正常操作的极限的最大马氏距离阈值,以及从新的基并从最大马氏距离阈值定义异常检测模型。 |
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| Bibliography: | Application Number: CN202410764247 |