[go: up one dir, main page]

Capezza et al., 2019 - Google Patents

Ship fuel consumption monitoring and fault detection via partial least squares and control charts of navigation data

Capezza et al., 2019

View PDF
Document ID
9618355918956532731
Author
Capezza C
Coleman S
Lepore A
Palumbo B
Vitiello L
Publication year
Publication venue
Transportation Research Part D: Transport and Environment

External Links

Snippet

New regulations in the shipping sector aim to give greater transparency to operations and public access to CO 2 emissions data. EU regulation 2015/757 became mandatory in January 2018 and urges shipping companies to set up systems for daily monitoring …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • G06Q10/0639Performance analysis
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis

Similar Documents

Publication Publication Date Title
Capezza et al. Ship fuel consumption monitoring and fault detection via partial least squares and control charts of navigation data
Bialystocki et al. On the estimation of ship's fuel consumption and speed curve: A statistical approach
Erto et al. A procedure for predicting and controlling the ship fuel consumption: its implementation and test
US4843575A (en) Interactive dynamic real-time management system
Bocchetti et al. A statistical approach to ship fuel consumption monitoring
Fan et al. A novel ship energy efficiency model considering random environmental parameters
Coraddu et al. A novelty detection approach to diagnosing hull and propeller fouling
EP3825651A1 (en) Apparatus for predicting a power consumption of a maritime vessel
Soner et al. Statistical modelling of ship operational performance monitoring problem
Bekker et al. From data to insight for a polar supply and research vessel
Shaw et al. Marine big data analysis of ships for the energy efficiency changes of the hull and maintenance evaluation based on the ISO 19030 standard
Kee et al. Prediction of ship fuel consumption and speed curve by using statistical method
Smith et al. Analysis techniques for evaluating the fuel savings associated with wind assistance
Hansen Performance monitoring of ships
Mak et al. Ship performance monitoring and analysis to improve fuel efficiency
Zeng et al. A novel big data collection system for ship energy efficiency monitoring and analysis based on BeiDou system
Hajli et al. A fuel consumption prediction model for ships based on historical voyages and meteorological data
Bayraktar et al. Marine vessel energy efficiency performance prediction based on daily reported noon reports
Johnson et al. Response and fatigue assessment of high speed aluminium hulls using short-term wireless hull monitoring
Abouelfadl et al. The impact of optimizing trim on reducing fuel consumption
Zaman et al. Development of automatic mode detection system by implementing the statistical analysis of ship data to monitor the performance
Lim et al. Ship performance-using the real world as a laboratory
Banks Operational practices to improve ship energy efficiency
Cisek Weather-driven variations in optimum trim of a refrigerated cargo carrier: insights from ocean crossing voyage
Filippopoulos et al. Multi-sensor data fusion for the vessel trim analyzer and optimization platform