Advanced Diagnostics and Prognostics

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.

Figure 1. CBM – also referred to as integrated vehicle health management (IVHM) and PHM

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

Figure 2. Prognostics Development Process

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.

00494g PHM Value Proposition_ecosystem_rfs4

PHM Value Proposition

For more information on specific products, please contact us directly or click the following links:



Selected Application Notes and White Papers

Check the titles in the following collection that you would like to read and submit your email at the bottom of this list. We will send you an email with your requested information. The email link will expire in one week.

Prognostic Health Management (PHM) of Electrical Systems Using Condition-based Data for Anomaly and Prognostic Reasoning
This paper presents an overview of signature-based PHM technology to detect anomalies and prognostic reasoning. A signature is extracted from condition-based data and is called a fault-failure progression (FFP) signature. Thereafter, a representative PHM system that extracts and processes dynamic degradation signatures for critical DC-regulated power is described beginning with a five-level hierarchical system model.
Prognostic Health Management (PHM) Solutions for Battery Packs Used in Critical Applications
This paper describes the innovative solution to improve the dependability and reliability of a NiCad battery system through monitoring and balancing the state of charge of each individual cell in a series-connected battery pack. This innovation significantly reduces maintenance and unnecessary battery pack replacement costs for critical military applications. The described application-specific integrated circuit (ASIC) solution detailed in this paper provides important prognostic, usage, and life-time feedback to the user and maintenance personnel.

Links to IEEE and AutoTestCon conference presentations on this subject can be found in our Resource Library

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)

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