Method of Generating Economic Value from Navigation Lock Structural Health Information

Abstract

Structural Health Information (SHI) can be collected from two different types of data sources. They are the CMMS (Computerized Maintenance Management System) and the historian systems. CMMS contains information about maintenance operations, such as work orders and spare parts stock. Historian contains real time and historical operational data, such as time series obtained from sensors. Collecting, identifying, accessing, cleaning, enhancing, fusing, and analyzing this data is a challenge for large organizations like the U.S. Army Corps of Engineers. Maintenance data do exist, but it may not be organized or accessed easily as they are managed by various entities of the organization. To develop a complete structural health monitoring (SHM) solution, both data sources should be used. This paper proposes a process for the maintenance data only, converting them into valuable information for the maintenance strategy, investment decisions and the optimization of asset’s lifecycle performance. Statistical methods and stochastic processes are utilized based on the data type (e.g. inspection, repair, replacement) and the overall process is demonstrated with an example from a river navigation lock.