ASR
Services

Predictive Maintenance and CBM+ Support

ASR's Predictive Maintenance (PdM) and Condition-Based Maintenance Plus (CBM+) support services enable our customers to implement a maintenance strategy that shifts from reactive maintenance to a more proactive, data and AI driven predictive maintenance strategy, where maintenance is performed based on evidence of need. ASR supports the DoD's Condition-Based Maintenance Plus (CBM+) initiative to improve air, sea, and ground fleet availability and reduce lifecycle costs through more timely, efficient, and effective maintenance.

ASR's Approach to Predictive Maintenance and CBM+

ASR's approach to providing Predictive Maintenance (PdM) and CBM+ support services focuses on the synergy of People, Process, and Technology.

ASR Approach to PdM and CBM+
  • People
    The ASR team is comprised of knowledgeable professionals and domain experts in various disciplines supporting air, sea, and ground logistics, maintenance, and supporting technology for customers including NAVAIR, NAVSEA, and USMC Marine Air Wings (MAW). ASR areas of expertise include logistics planning / processes / procedures, supply and maintenance support, data science / analytics, business intelligence, artificial intelligence and machine learning, cybersecurity, IT operations / maintenance / support, and software development and robotic process automation with Microsoft 365 and custom web / software applications.
  • Process
    ASR professionals are trained and experienced in maintenance and logistics processes, procedures, and methodologies that enable and implement CBM+ and PdM.
  • Technology / Tools
    The ASR team uses modern maintenance and logistics tools including logistics / maintenance information systems (e.g., NALCOMIS OOMA, DECKPLATE, F-35 Autonomic Logistics Information System [ALIS]), hardware, software, integrated electronic technical manuals (IETMS), and integrates state of the art technology, including AI.
ASR AI-enabled Predictive Maintenance Support Services

Artificial Intelligence and Machine Learning for Predictive Maintenance

Improving operational availability and readiness of aircraft through effective CBM+ and Predictive Maintenance (PdM) requires the right data and analytics to replace reactive, unscheduled maintenance with data-driven, proactive / predictive maintenance.

Artificial Intelligence (AI) and Machine Learning (ML) enable Predictive Maintenance by using historical maintenance and part failure data as well as sensor data to predict part failures and maintenance needs – proactively and cost effectively addressing maintenance and repair of aircraft, ship / submarine, or ground vehicle components before they lead to costly downtime.

ASR's approach to AI and ML enabled Predictive Maintenance includes:

  • Expertise in using open source and commercially available AI/ML tools and platforms including Azure AI Services, scikit-learn, Cloudera, and C3 AI to train AI models and provide AI-enabled predictive analytics supporting predictive maintenance.
  • Deploying AI-enabled custom predictive maintenance software solutions using state of the art web technologies to FedRAMP authorized cloud services including Microsoft Azure Government.
  • Training predictive maintenance AI models on historical maintenance data from DoD maintenance systems including NALCOMIS OOMA, DECKPLATE, ALIS, and other data sources.
  • Enabling predictive maintenance decisions that predict component failures, delivering measurable improvements in air, sea, and ground fleet readiness and availability, improved maintenance outcomes, and cost savings.
  • Presenting technical briefings to stakeholders and leaderships on AI capabilities customized to their domain and operational needs.

Contact us to learn more about ASR's cost-effective, best value Predictive Maintenance and CBM+ Support Services.

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