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 the Autonomic Logistics Information System (ALIS) to optimize the placement of spare parts in key areas to support deployed equipment.
The Benefits from Condition-Based Maintenance (CBM)
A good way to look at the benefits of prognostics is to review the figure below.
CBM – also referred to as integrated vehicle health management (IVHM) and PHM
Identical systems may age and degrade differently in the field, depending on whether they have been stressed and subtle differences in their original manufacture. CBM is designed to allow the system to tell you its health, rather than basing your maintenance events solely on a schedule derived from statistics or an idealized model.
A Prognostics Development Walkthrough
Prognostics development process
The following process should be followed when designing and implementing a prognostics-enabled system:
- Key failures are detected and ranked.
- Precursor signatures or multivariate inputs are extracted using prognostics & health management (PHM) software tool such as Sentinel Suite™.
- Historic and trending data are used to fine-tune the analysis.
- Prognostic metrics are generated, such as current state-of-health (SoH) and remaining useful life (RUL).
PHM and Support Ecosystem
The Ridgetop tools can also be linked into a holistic ecosystem, as shown below.
PHM Value Proposition
For more information on specific products, please contact us directly or click the following links:
Overviews
Brochure
Selected Application Notes and White Papers
- Improved Reliability-based Decision Support Methodology Applicable in System-level Failure Diagnosis and Prognosis
- Evaluation of MEMS-Based Wireless Accelerometer Sensors in Detecting Gear Tooth Faults in Helicopter Transmissions
- Practical Application of PHM-Prognostics to COTS Power Converters
- A Model-based Avionic Prognostic Reasoner (MAPR)
- Prognostic-Enabling of an Electrohydrostatic Actuator (EHA) System
- Uptime Improvements for Photovoltaic Power Inverters
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IEEE and AutoTestCon conference presentations can be found on the conference sites.
Selected Webinars
- Prognostics and Health Management (PHM) for Rotating Systems
- Click here to download the webinar presentation (PDF)
- Click here to download the audio/video recording of the webinar (WMV)
- Benefits of Prognostics for Power Electronics Systems
- Click here to download the webinar presentation (PDF)
- Introduction to Prognostics and Health Management (PHM)
- Click here to download the webinar presentation (PDF)
- Overview of Prognostics and Health Management (PHM) in the IT Industry
- Click here to download the webinar presentation (PDF)
- Implementation of Prognostics in Solar Applications
- Click here to download the webinar presentation (PDF)
Related products
- Die Level: ProChek™ semiconductor process characterization system; PDKChek™ die-level process monitors; SJ BIST™ intermittency monitors for substrate die-crack detection (part of Sentinel Interconnect™)
- Component Level: Sentinel Silicon™ die-level “canary” cells; TSV BIST™ intermittency monitors; SJ BIST™ intermittency monitors for IC packages
- Board Level: SJ BIST™ intermittency monitors for board-to-package connections
- Module Level: Sentinel Motion™ and Sentinel Power™ sensors and analysis software
- System Level: Sentinel Network™ network management tools (part of Sentinel IT™)
Ridgetop is certified as category 1A under the Defense Microelectronics Activity (DMEA) as part of the Trusted Supplier Program. Ridgetop has history of designing analog and mixed signal ICs for demanding applications in space satellites that are subjected to extreme temperatures and radiation. Our designs have utilized bulk CMOS, CMOS-SOI, and SiGe at process geometries down to 28 nm channel lengths. Radiation hardness is also a concern, and Ridgetop has addressed those requirements as well. A recent Ridgetop design was delivered to ON Semiconductor for the U.S. Air Force STELLAR Star Tracker.
Under contract to NASA, Ridgetop designed an effective 3-axis wireless rotational sensor. The RotoSense™ sensor has been tested on fast-spinning pinion gears on helicopter gear boxes, and also rolling stock for railroad safety improvements.