Basic Industrial Measurement and Data Literacy for Maintenance and Reliability

Description

Introductory lecture on industrial measurement and data literacy for maintenance and reliability. Covers sensor basics, signal chains, accuracy versus precision, repeatability and reproducibility, calibration and uncertainty, and how bad data drives bad decisions. Visuals include charts on aliasing, calibration curves, control charts, and case study trends. Practical guidance links measurement quality to better alarms, sampling, filtering, and governance, ending with a playbook for turning data into reliable decisions.