Condition-based maintenance (CBM) can significantly reduce maintenance costs by identifying upcoming needs but requires data fusion and more real-time measurements. Typical measurement variables are vibration, temperature, different speeds and pressures. The project aims to develop a solution framework for combining condition monitoring (CM) and process data to integrate CBM with control and timing of the maintenance actions. The use of on-line and periodic CM measurements requires advanced signal processing and feature extraction. This paper focuses on implementing the measurement system in a case study conducted in Pyhasalmi mine with Sandvik load haul dump (LHD) machinery. The measurement monitoring system was installed on LHD front axle, which is among the most critical parts in LHD machines. A feasible solution was found in the harsh underground conditions. The working stages can be identified from the signals and the measurements are suitable for the development of the condition and stress indices.