PHÁT TRIỂN THUẬT TOÁN KẾT HỢP KALMAN-EMD ĐỂ XỬ LÝ TÍN HIỆU SÓNG XUNG KÍCH DO NỔ LAN TRUYỀN TRONG MÔI TRƯỜNG NƯỚC

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Tác giả: Ngọc Lâm Bùi, Trọng Thắng Đàm, Đức Việt Trần, Tùng Lâm Vũ

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Journal of Science and Technique: Section on Special Construction Engineering, 2024

Mô tả vật lý: tr.100

Bộ sưu tập: Metadata

ID: 462434

Thêm vào giỏ Liên kết toàn văn

Dữ liệu đo trong các thí nghiệm có triển khai các cảm biến đo áp suất nổ dưới nước luôn bị nhiễu, biểu hiện ở các đỉnh răng cưa của dạng tín hiệu thu được. Ngoại trừ áp suất đỉnh Pmax, các tham số khác của một vụ nổ dưới nước như xung nén I+, thời gian pha nén τ+, xung dãn I-, thời gian pha dãn τ- là rất khó hoặc gần như không thể trích xuất từ những tín hiệu này. Bài báo nghiên cứu phát triển một thuật toán Kalman-EMD là sự kết hợp của bộ lọc Kalman và phân tách dạng thực nghiệm để xử lý loại tín hiệu nổ này. Thuật toán được áp dụng vào 6 bộ dữ liệu đo áp suất sóng nổ dưới nước bằng cảm biến PCB W138A05 với cùng một điều kiện kích nổ lượng thuốc 184 gam A-IX-2, kết quả cho thấy nhiễu trong tín hiệu được loại bỏ đáng kể. Đối với các tham số nổ có thể so sánh được với lý thuyết như I+ và τ+, mặc dù có sự đánh đổi nhỏ về sai số của I+ khi tăng từ khoảng 3% lên 6%, nhưng sai số τ+ lại giảm đáng kể từ trên 30% xuống còn khoảng 3%. Đặc biệt, các thông tin khác như I- và τ- có thể trích xuất được từ tín hiệu sau xử lý nên sự đánh đổi này có thể chấp nhận được. Như vậy, thuật toán này có thể được sử dụng để xử lý khử nhiễu, trích xuất các tham số nổ từ tín hiệu thu được khi kích nổ một lượng thuốc dưới nước.In experiments deploying underwater blast sensors, measured data is always disturbed, expressed as analog peaks in the obtained signal form. Except for pressure peak pmax, other parameters of an underwater explosion such as positive impulse I+, positive phase duration τ+, negative impulse I- and negative phase duration τ- are difficult or almost impossible to extract from this signal type. This article studies developing an algorithm called Kalman-EMD with the combination of Kalman filter and empirical mode decomposition for processing this signal type. The algorithm is applied in 6 data sets measuring the shockwave pressure of underwater explosions by PCB W138A05 sensors with the same condition that 184 grams of A-IX-2 explosive is detonated underwater. The results show that noise in signals is significantly eliminated. For the blasting parameters of processed signals, which can be compared with theory such as I+ and τ+, although it witnesses a small trade-off when errors of I+ enhance from about 3% to 6%, errors of τ+ are significantly decreased from about over 30% to only about 3%. Especially other pieces of information such as I- and τ- can be extracted from the processed signal so this trade-off can be acceptable. Hence, this algorithm can be applied to denoise and extract parameters from shockwave pressure signals of underwater explosions.

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