Correct diagnosis of rotating machinery mechanical faults depends on having complete information about the vibration spectral data. Since machines in general have three degrees of freedom of lateral motion, good science and logic suggest that data from all three axes will provide more information, if we can analyze it properly. The purpose of this paper is to demonstrate the improved diagnostic capability provided by collecting triaxial data compared to single axis radial data mixed with some axial data.

Rotor Bar in a Spectrum

An Overview of Remote Machine Condition Assessment

Utilities of every size depend on automated software tools to evaluate mechanical condition and improve overall plant reliability, creating improved labor efficiency and generating legitimate cost savings in the process