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Commentary<br />

A Predictive Diagnostic<br />

Maintenance System<br />

ARMY LOGISTICIAN PROFESSIONAL BULLETIN OF UNITED STATES ARMY LOGISTICS<br />

by StaFF Se r G e a n t Mi ch a e L WinKLer<br />

The two-level maintenance system presents some unanticipated challenges<br />

to maintainers. The author suggests that an evidence-based maintenance system<br />

would help them accurately diagnose faults.<br />

As part of its transformation, the Army is converting<br />

from a four-level maintenance system to a<br />

two-level maintenance system. Unit and direct<br />

support maintenance assets are being combined to create<br />

the field maintenance level, and general support and<br />

depot maintenance are combining to form the sustainment<br />

maintenance level. For two-level maintenance<br />

to work, I believe the Army should develop a better<br />

approach to diagnosing faults. Two-level maintenance<br />

would be more effective if the Army had vehicles that<br />

were uncomplicated or were designed specifically for<br />

two-level maintenance.<br />

Although vehicles have become more and more<br />

complex, the Army has fewer mechanics and a smaller<br />

logistics footprint. One would assume that enhanced<br />

onboard system-monitoring capabilities would increase<br />

the reliability of vehicles and reduce the time mechanics<br />

need to spend on vehicle repairs. However,<br />

based on what I have seen, I think the “failsafe” in<br />

Army maintenance has been the reliability of vehicles’<br />

mechanical systems, not the electronic monitoring systems<br />

on those vehicles.<br />

Sensor Reliability<br />

To take this a step further, think<br />

about the last time a malfunction light<br />

came on in your car. The fault likely<br />

was caused by a sensor that almost certainly<br />

was in error. Onboard diagnostic<br />

systems can tell you that a sensor is<br />

malfunctioning. Why can’t we develop<br />

a system that will predict when a sensor<br />

will fail? Why can’t we determine (with<br />

a relatively small deviation) how often<br />

The high-mobility artillery rocket<br />

system consists of a missile<br />

system and the truck that transports<br />

it. Both must be well-maintained<br />

and operational for the system to<br />

be effective.<br />

that sensor fails? Perhaps we need to develop a built-in<br />

sensor test, design around that sensor, or eliminate it.<br />

All too often we seem to believe that adding sensors<br />

makes the hardware we are given the best available. I<br />

find that prognostics on ground vehicles are generally<br />

complex and cause more problems than they solve.<br />

This observation conflicts directly with the direction<br />

the Army is taking with ordnance military operational<br />

specialty skill sets. Each maintainer is now tasked to<br />

know multiple vehicle systems and repair systems.<br />

However, maintainers will probably never learn each<br />

system well enough to become proficient in troubleshooting<br />

them all.<br />

Evidence-Based Diagnostics<br />

In healthcare, Internet-based systems are available<br />

to help doctors identify possible causes for patient<br />

symptoms. One such statistical diagnostic assistant,<br />

called “Isabel,” was developed by a father who sought<br />

to change the diagnostic system that affected the way<br />

his daughter (Isabel) was treated. This system is basically<br />

an intuitive system that takes advantage of all<br />

45

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