Pattern Matching of Industrial Alarm Floods Using Word Embedding and Dynamic Time Warping

Dear Editor, This letter proposes a new pattern matching method based on word embedding and dynamic time warping (DTW) to identify groups of similar alarm floods. First, messages are transformed into numeric values that represent alarms also reflect the relationships between occurrences. Then, similarities numerically encoded flood sequences calculated by DTW floods identified via clustering. The effectiveness proposed is demonstrated case study with & event data obtained from public industrial simulation model.