Page 164 - Cyber Defense eMagazine September 2023
P. 164

six-year period. It also found that the DoD did not meet its MC goals for FY 2021 for 47 of the 49 aircraft
            in its review, with most aircraft more than 10 percentage points below the goal.

            With  national  security  depending  on  the  safety  and  reliability  of  critical  defense  assets  –  predictive
            maintenance  is  key  to  ensuring  operational  readiness.  Predictive  maintenance  refers  to  the  use  of
            hardware,  software,  and  service  components  to  provide  predictive  analytics  for  mechanical  assets,
            infrastructure  maintenance,  and  reliability  objectives.  Used  to  monitor  emerging  failures,  predictive
            maintenance uses real-time condition-based monitoring and artificial intelligence (AI)/machine learning
            (ML) inferencing to identify expected failure points and determine remaining asset life. This intelligence
            enables military organizations to enhance operational readiness, enable cyber survivability, lower costs,
            shorten sustainment cycles, and increase platform availability [i.e., MC rates].

            The DoD issued an interim predictive maintenance policy back in 2002. But in a December 2022 report
            on improving military readiness, the GAO found that in the 20 years since, military services have made
            limited  progress  in  implementing  it  – despite  pilot programs and  evidence  of  improved  maintenance
            outcomes. In a recent survey, 73 percent of DoD operations, maintenance, and IT leaders said they feel
            the  lack  of  predictive  maintenance  across  the  DoD  directly  correlates  to  a  low  platform
            readiness/availability.  However,  if  implemented  and  utilized  correctly,  the  DoD  can  use  predictive
            maintenance to its full potential, boosting the resilience and readiness of critical defense assets.



            From Reactive to Proactive

            In the absence of predictive maintenance, unplanned or reactive maintenance leads to more operational
            downtime and higher costs in the long run. DoD officials report that reactive maintenance often requires
            more materials and a higher level of effort than planned maintenance. In fact, by waiting until things break
            to fix them, the DoD spends $90 billion a year to keep ground systems, ships, and aircraft combat-ready,
            according to the GAO.

            Downtime of critical defense assets puts personnel and national security at risk – but it is preventable.
            Minimizing downtime is key to improving operational readiness. In the same survey, 62 percent said they
            experienced weapons systems or aircraft downtime that could have been prevented with the use of
            predictive maintenance in the past year.



            Turning Data into Intelligence

            DoD operations, maintenance, and IT leaders need real-time knowledge of what is happening across all
            equipment and systems, unfortunately 73 percent say their current tooling fails to provide the data access
            and observability needed for effective predictive maintenance. Often, that’s because sensors, log files,
            and recording devices capture data at prescribed intervals, rather than in real time, because of storage
            limitations. As a result, when an anomaly pops at a millisecond, it often escapes detection by a sensor.

            The  problem  underpinning  these  challenges,  however,  is  access  to  this  onboard  data  when  digital
            anomalies  arise.  Weapon systems  today  lack  an onboard sensor  capable  of  capturing,  storing,  and





            Cyber Defense eMagazine – September 2023 Edition                                                                                                                                                                                                          164
            Copyright © 2023, Cyber Defense Magazine. All rights reserved worldwide.
   159   160   161   162   163   164   165   166   167   168   169