Sense and Respond Technology Enabling Condition Based Maintenance (CBM)

Period of Performance: 04/22/2016 - 04/22/2018

$985K

Phase 2 SBIR

Recipient Firm

Qualtech Systems, Inc.
100 Corporate Place Array
Rocky Hill, CT 06067
Firm POC
Principal Investigator

Abstract

Reliable operation of LCS computing systems are paramount to mission operations because unanticipated failures and system degradations result in the ships crew and subject matter experts (SMEs) spending extended time on debugging and resolving system issues. The need for reliability of large and complex computing environments has led to the development of network monitoring systems (NMS). These systems allow network administrators to make use of the logged data on a managed network in order to assess the integrity of software services they provide, and present an overview of the current state of the system, including alarms raised when issues arise. However, such alarms constitute only the annunciations of detected problems. One needs to determine the root cause behind the alarms in order to assess their impact on network operations and identify suitable corrective actions. To address these "gaps", QSI-LM seeks to create a seamless, intelligent sense, anticipate and respond solution with Condition Based Maintenance (CBM) and remote diagnosis capabilities, that mines, analyzes and consolidates operational data from shipboard Network Monitoring Systems (NMS) tools and functions as a decision-aid for the SME and the crew for determination of the MPCE and TSCE health condition, and hence its incipient fault/failure conditions.