Data Driven Damage Diagnosis and Prognosis

This Phase II proposal focuses on the development of a data-driven, integrated damage diagnosis and prognosis technology to enable on-line, accurate and useful failure predictions for ABL systems. The developed software system will utilize the advanced nonlinear dynamics based signal analysis and dynamics reconstruction methods to identify active damage modes, track their evolution, develop appropriate empirical damage models and predict remaining useful life. The applicability of developed technology will be demonstrated using an experimental apparatus of ABL pressure vessel system. The experimental data will be used to develop empirical models for anticipated failure modes that will be used in automated failure prognosis system. The primary objective of Phase II is the product development. Based on the promising technologies developed in Phase I, two products will be developed: (1) embedded middleware deployed in an embedded computing platform, and (2) standalone component-level diagnosis and prognosis system. These two products will be used in the equipment diagnosis and prognosis for ABL, and CMMS (Computerized Maintenance Management System) for process industry. Algorithms developed in Phase I/II will be implemented in C/C++. Effort will be focused on accuracy, autonomous, speed and efficiency of the system. A detailed sales and marketing business plan will be developed.