Fault Isolation and Quality Assessment for Shipboard Monitoring

Abstract

In this paper a new approach for increasing the overall reliability of a monitoring and decision support system will be explained. The focus is on systems used for ship operator guidance with respect to, say, speed and heading. The basic idea is to convert the given system into a fault tolerant system and to improve multi-sensor data fusion for the particular system. Fault isolation is an important part of the fault tolerant design for in-service monitoring and decision support systems for ships. In the paper, a virtual example of fault isolation will be presented. Several possible faults will be simulated and isolated using residuals and the generalized likelihood ratio (GLR) algorithm. It will be demonstrated that the approach can be used to increase accuracy of sea state estimations employing sensor fusion quality test.

Towards fault-tolerant decision support systems for ship operator guidance

“…However, recently research has been initiated, e.g. Lajic [15], Lajic and Nielsen [17], Lajic et al [16,18], and it is foreseen that many improvements in this area will be made in the future. [22].…”

Bayesian estimation of directional wave spectrum using vessel movements and wave-probes.

“…The works from Lajic in 2010 also deserve attention, (LAJIC, 2010) and (LAJIC, et al, 2010). They suggest a new method for selecting the best estimation base called "Sensor Fusion Quality Test", using the online measurement of the cross residual estimationthe difference between the estimation of the significant sea height from two different degrees of freedomto find the combination of vessel movements which has the best agreement among the measurements it contains.…”