Development of a Filtering Method for Evaluation of Performance in a Calm Sea Based on Onboard Monitoring Data

Abstract

Evaluations of ship performance in actual seas based on onboard monitoring data have been widely conducted recently. Performance in a calm sea is important for estimating performance in actual seas. In order to estimate performance in a calm sea, onboard monitoring data should be filtered by certain items and criteria. This filtering procedure is important and difficult because the data depend on the filtering items and criteria, and the appropriate items and criteria will be different depending on the ambient condition and ship size. To solve this problem, this paper proposes a filtering method called the Resistance Criteria Method (RCM) using the estimated added resistance in actual seas. The method was validated with a tanker (VLCC) and compared with other filtering methods.

Validation of Filtering Method for Evaluating Ship Performance in Calm Sea Using Onboard Monitoring Data

“…The authors previously conducted a validation 2) of the effectiveness of RCM using the onboard monitoring data of a tanker. That validation indicated that filtering by ASR is effective for eliminating deviating data which seem to be measured in an unsteady state.…”

“…The authors developed the Resistance Criteria Method (RCM) 2) to satisfy this requirement. RCM introduces an increase rate of resistance in actual seas as a parameter for filtering to enable a robust and uniform evaluation of the ship performance.…”

Uncertainty Assessment in Ship Performance Evaluation by Monte Carlo Simulation Using Onboard Monitoring Data

“…Simulated performance is corrected for winds and waves for all the data, which yields 600 corrected performances. The numerical model 13) expressed by Eq. (26) is applied to the discretized data of the corrected performances in order to estimate the brake power at service speed in calm seas.…”