Nội dung được dịch bởi AI, chỉ mang tính chất tham khảo
Mạng Nơ-ron và L-kurtosis trong Chẩn đoán Lỗi Vòng Bi Phân Cứng
Tóm tắt
Mục tiêu chính của bài báo này là tìm ra một phương pháp chính xác để cải thiện việc phát hiện và phân loại lỗi khi xử lý các tín hiệu rung không ổn định. Để phát hiện và phân loại các lỗi của động cơ cảm ứng, một kỹ thuật phân tách gói sóng (WPD) kết hợp với mạng nơ-ron nhân tạo (ANN) được xem xét. Hiệu quả của phương pháp này phụ thuộc vào các đặc tính đã được lựa chọn và chuẩn bị một cách cẩn thận nhằm giúp bộ phân loại hỗ trợ các điều kiện khỏe mạnh của hệ thống được giám sát bằng sự trợ giúp của tín hiệu đo được. Các tập dữ liệu thử nghiệm khác nhau của các vòng bi khỏe mạnh và bị hư hỏng dưới các tốc độ quay khác nhau đã được nghiên cứu để huấn luyện bộ phân loại ANN nhằm chứng minh tính hiệu quả của phương pháp đề xuất. Kết quả cho thấy hiệu suất cao của quy trình này như một phương pháp hiệu quả cho chẩn đoán lỗi vòng bi.
Từ khóa
#phát hiện lỗi #phân loại lỗi #tín hiệu rung không ổn định #mạng nơ-ron nhân tạo #phân tách gói sóng #chẩn đoán lỗi vòng bi.Tài liệu tham khảo
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