Monitor Signal Subsequence Extraction for Real-Time Anomaly Detection
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Solution Overview
Problem
Existing anomaly detection systems in manufacturing devices face challenges in accurately extracting a specific sub-process signal from composite sequences, leading to increased data points, computation time, and errors due to unnecessary signal sections, which impairs real-time detection and requires skilled technician intervention to set conditions.
Innovation Solution
The system employs a dynamic time warping method to determine an optimal warping path between a composite sequence and a reference sequence, allowing for the extraction of a specific subsequence by identifying start and end points, thereby isolating the sub-process signal and reducing unnecessary data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the monitor signal is used as a detection target signal without extraction, then the detection covers all processing steps, but the data points and computation time increase significantly
Solution Approach 1:
The patent segments the composite monitor signal into multiple subsequences corresponding to different processing steps using dynamic time warping. Each subsequence can be independently analyzed for anomalies, reducing the computational burden while maintaining comprehensive detection coverage across all processing steps.
Solution Approach 2:
The patent extracts specific subsequences from the composite monitor signal that correspond to particular processing steps of interest. By isolating and analyzing only the relevant portions of the signal, the system reduces computation time and data processing requirements while focusing anomaly detection on critical operations.
2Ease of manufacture
If the voltage level threshold method is used to extract detection target sections, then the extraction process is simple, but it cannot accurately identify specific sub-process sections in composite steps
Solution Approach 1:
The patent introduces dynamic time warping as an intermediary technique between the simple threshold method and precise sub-process identification. The DTW algorithm aligns the monitor signal with reference sequences to accurately identify sub-process boundaries, bridging the gap between simplicity and precision in signal extraction.
Solution Approach 2:
The patent changes the extraction criterion from fixed voltage level thresholds to dynamic time warping distance metrics. By using DTW to measure similarity between signal segments and reference patterns, the system achieves accurate sub-process identification that adapts to variations in signal characteristics without relying on rigid voltage thresholds.
3Adaptability or versatility
If skilled technicians set extraction conditions manually, then the extraction can be customized, but the system requires skilled intervention and increases operational complexity
Solution Approach 1:
The patent implements self-service by enabling the system to automatically perform subsequence extraction using dynamic time warping algorithms. The system autonomously identifies and extracts relevant signal segments without requiring manual configuration or skilled technician intervention, making the process accessible to non-expert users while maintaining high extraction accuracy.
Solution Approach 2:
The patent applies preliminary action by pre-registering reference sequences that represent normal sub-process patterns. These reference sequences are stored in advance and used by the DTW algorithm to automatically identify and extract corresponding subsequences from the monitor signal, eliminating the need for real-time manual condition setting while preserving extraction adaptability.
Data Source
AI summary
It is an object of the present invention to provide a technique capable of easily extracting a section signal of a specific sub-process. The anomaly detection system includes an extraction unit for extracting a specific subsequence to be an object of anomaly detection from among a plurality of subsequences from a composite sequence included in a monitor signal. The extraction unit determines an optimal warping path from the composite sequence and a reference sequence, which is an example of the composite sequence acquired in advance, by a dynamic time warping method. The extraction unit identifies a start point and an end point of a specific subsequence based on the optimal warping path and the start point and end point of the subsequence of the reference sequence. The extraction unit extracts a specific subsequence based on a start point and an end point of the specific subsequence.