Real-time performance assessment and condition monitoring are potential new features in mobile working machines that have to run in a wide range of operating conditions. Condition monitoring and performance assessment are needed to be able to proactively correct impending faults before severe failures or machine stoppage occur. This paper presents a data-driven approach for machine performance assessment and condition monitoring based on indices representing the performance of a subsystem. Instead of adding new sensors, the indices are computed using existing data from the machine control system. Metrics for machine performance follow-up are derived from these multidimensional data, which have strong nonlinear correlations in certain measurement variables. Although the indices describe primarily the technical performance of the machine, they have proven to be valuable also in terms of condition monitoring of various machine functions. The indices summarize in a concise and easily comprehensible manner changes in performance.
- Design Engineering Division and Computers and Information in Engineering Division
Index-Based Performance Assessment and Condition Monitoring of a Mobile Working Machine
- Views Icon Views
- Share Icon Share
- Search Site
Ho¨ltta¨, V, Repo, M, Palmroth, L, & Putkonen, A. "Index-Based Performance Assessment and Condition Monitoring of a Mobile Working Machine." Proceedings of the ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1: 20th Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C. Long Beach, California, USA. September 24–28, 2005. pp. 615-622. ASME. https://doi.org/10.1115/DETC2005-84844
Download citation file: