Prognostic Health Management

(PHM)

D2K Modern PHM System Architecture

PHM Systems are evolving to meet higher expectations.
What should PHM Systems do?

· Determination of Health and its impact on system functions

· Monitor early warning of incipient failures

· Predictions of Remaining Useful Life 

· Leveraging of advanced “reasoners”

        · Signal processing for event detection

        · Algorithms for event correlation and sensor fusion

        · Expert Systems and rule-based architectures

        · Advanced neural and statistical classifiers

        · Real-time state estimators

        · Model-based Reasoning

· Supervisory-level intelligence / logic

· Estimation and understanding of system state within operational context

· Decision support to assist operators in maintaining operational availability

· Optimize scheduling of maintenance and corrective actions according to the

  principals of condition-based maintenance

D2K Real-time PHM System Data Flow

How have PHM Systems performed?

1. Expensive

2. Often ill specified

3. Often an afterthought - considered very late in design cycle

4. Excruciating test and validation cycles

5. Questionable performance

How should PHM Systems optimally be designed?

· PHM System Requirements need to be vetted early in the design cycle

· RCM focused Design Methodology should be followed

· Design tools should be leveraged that produce details for optimal sensor suite     and location, FMECA, expected usage, maintenance actions and scheduling

· Need to analyze fault detection early in anticipation of onboard prognostics
 requirements

· Need to link failures to detectable events across subsystems, and diagnosis to         maintenance and corrective actions

· Onboard hardware and software architectures should compliment and support     integration with PHM data

We have PHM solutions for any application where system failure could affect human safety, an environmental threat, or unacceptable revenue loss.