Sense and Respond Technology Enabling Condition Based Maintenance (CBM)
Navy SBIR FY2014.1
||Navy SBIR FY2014.1|
||Sense and Respond Technology Enabling Condition Based Maintenance (CBM)|
||Qualtech Systems, Inc.|
99 East River Drive
East Hartford, Connecticut 06108
||The performance information contained in SMARTS and/or SolarWinds is not currently used to improve the uptime of the computer systems they are running on, or to help in quickly troubleshooting system faults/failures. In addition, due to limited size, current troubleshooting sessions are conducted between fleet crew onboard the LCS and SMEs on-shore using voice, email, and Secure Internet Protocols Router Network chat. This increases the workload of fleet crew because of the iterative back-and-forth nature of email-based troubleshooting or the burden of having to schedule and execute a chat session. Most importantly, it is primarily all reactive maintenance and follows the traditional break-fix model leading to perceived lack of reliability, significant operational downtime and hence decreased availability.
Qualtech Systems, Inc., in collaboration with Lockheed Martin, intends to address the challenges by enhancing/integrating/fielding QSI's Integrated Diagnostic Solution Suite that work with data from SMARTS and/or SolarWinds within MPCE. The key innovative aspects of the QSI-LM team solution approach are (1) diagnosis before dispatch, (2) m2m (machine-to-machine) capability, (3) trending capability (i.e., time-to-alarm (TTA) and time-to-maintenance (TTM)), (4) remote diagnosis via a server on-shore, (5) diagnostic state information to SMEs on-shore, and (6) support fleet maintenance crew to rapidly troubleshoot problems. The proposed solution approach will result in increased operational availability and reduced maintenance cost (and time) by building a seamless proactive sense anticipate and respond system (When-Then Rules) with CBM capability that would interface with SMARTS and/or SolarWinds data.
||The advantages of the proposed COTS-based integrated real-time and adaptive remote CBM architecture are as follows. First, it conforms to the Navy's Open Architecture (OA) Program guidelines and standards. Second, the integrated diagnostic model captures the fault-to-failure dependencies across multiple hierarchical levels of the network (i.e., TSCE, MPCE, combat system computing hardware, storage, network layers, etc.). Third, Customized domain-independent tracking and trending capability in TEAMS-DLr will result in "time to significant degradation (or alarm)" estimation on continuously monitored performance parameters from SMARTS and/or SolarWinds, Fourth, TEAMATEr resident on-shore provides a guided step-by-step troubleshooting procedure and sends the procedure to the fleet maintenenance crew to fix difficult to diagnose faults and degradation tracking. Thus, the fleet maintenance crew can leverage the accumulated knowledge of shore-based SMEs across different technologies as captured in the TEAMSr models for significantly improved troubleshooting. Fifth, the proposed CBM solution also provides an overarching maintenance dashboard to alleviate the need to constantly monitor the system performance parameters that provide opportunities to conduct diagnostics remotely and prevent breakdowns by proactively detecting and isolating faults at an early stage. Finally, the model continuously evolves with the ever-changing system configuration and the maintenance experiences recorded (e.g., troubleshooting logs, corrective actions, symptoms, performance indicators, etc.). Thus, the knowledge is improving with time and this results in reduced troubleshooting and repair times/costs. Substantial savings in manpower are accrued on repeated training of shipboard personnel and on misdiagnosis of failures (false alarms, missed detections) caused by lack of knowledge and/or expertise.|