Ridgetop excels in providing its customers with advanced diagnostic and prognostic solutions for critical applications. Ridgetop relies upon evidence of degradation through its background in physics-of-failure technologies. By extracting a distinct signature that precedes a failure, a meaningful and accurate indication of impending failure can be determined. Other issues of prognostics involve on-board vs off-board implementations, and linkages with autonomic logistic information systems (ALIS) to optimize the placement of spare parts in key areas to support deployed equipment. A good way to look at the benefits of prognostics is to review figure 1.
Download Electronic Prognostics Overview
The benefits from condition based maintenance (CBM)
Figure 1. CBM – also referred to as IVHM and EHM
A Prognostics Development Walkthrough
Figure 2. Prognostics Development Process
- Key failures are detected and ranked.
- Precursor signatures or multivariate inputs are extracted using Prognostic Health Management (PHM) software such as Sentinel PHMPro™.
- Historic and trending data used to fine-tune the analysis.
- Prognostic metrics are generated, such as current State-of-Health (SoH) and Remaining Useful Life (RUL).
Ridgetop Prognostic Tool Modularity
A diverse set of applications have included electrohydrostatic actuator (EHA) prognostics, battery management system (BMS) to IT network power inverter monitoring. Ridgetop provides a wide variety of building blocks for use in developing a comprehensive and effective PHM system as shown in figure 3.
Figure 3. Ridgetop Family of PHM Solutions
PHM and Support Eco-System
The Ridgetop tools can also be linked into a holistic eco-system, as shown in figure 4.
