A low-order vessel propulsion power prediction method may be performed to determine factors, including power demand parameters, used in configuring a propulsion system for a marine vessel. The low-order method may receive stability data and vessel operation profile data, in addition to computational fluid dynamics simulation results to determine predicted vessel power profiles. The predicted vessel power profiles may be used to configure a powertrain system model for the marine vessel.

A method of controlling a plurality of marine drives on a marine vessel includes detecting that at least one of the plurality of marine drives and that at least one of the plurality of marine drives is not running, and then determining, based on the trim position of each of the at least one non-running marine drives, that at least one non-running marine drive is trimmed down. If so, an output limit restriction is effectuated for each of the at least one running marine drive and an alert is generated to advise an operator of the output limit restriction.

A method of controlling a plurality of marine drives on a marine vessel includes detecting that at least one of the plurality of marine drives and that at least one of the plurality of marine drives is not running, and then determining, based on the trim position of each of the at least one non-running marine drives, that at least one non-running marine drive is trimmed down. If so, an output limit restriction is effectuated for each of the at least one running marine drive and an alert is generated to advise an operator of the output limit restriction.

A vessel propulsion system includes an on-board network, a plurality of propulsion apparatuses provided on a hull and connected to the on-board network, and a network connector to connect a diagnosis device to the on-board network. Each of the propulsion apparatuses includes a controller configured or programmed to transmit operating state information showing an operating state of the respective propulsion apparatus to the diagnosis device via the network connector.

To easily grasp a relationship of parameter values which influence a log velocity of a ship, with the log velocity of the ship caused by the parameters, a ship characteristic estimating device is provided, which includes a data outputter configured to output a plurality of parameter data respectively including rotational speed data of a propeller of a ship, and wind velocity vector data of wind force that may act on the ship, and an estimator configured to receive the plurality of parameter data outputted from the data outputter, estimate values corresponding to the respective parameter data to be log velocity vectors of the ship, and output them as first output values. The rotational speed data are same as each other and the wind velocity vector data are different from each other.

The invention relates to a method for managing maintenance for a ship comprising a sealed and thermally insulating tank for transporting liquefied gas. The method comprises the steps consisting in determining 310 a current filling level of the tank, determining 320 a current state of movement of the ship, determining 330 a current sloshing index IBi from the current filling level of the tank and the current state of movement of the ship, taking into account the position and the geometry of the tank, integrating 340 the determined current sloshing index IBi into a wear index IUi that takes into account a history of the sloshing indices. The wear index is then compared to a threshold in order to indicate if the tank needs to be inspected, depending on the result of the comparison.

The invention relates to a method for managing maintenance for a ship comprising a sealed and thermally insulating tank for transporting liquefied gas. The method comprises the steps consisting in determining 310 a current filling level of the tank, determining 320 a current state of movement of the ship, determining 330 a current sloshing index IBi from the current filling level of the tank and the current state of movement of the ship, taking into account the position and the geometry of the tank, integrating 340 the determined current sloshing index IBi into a wear index IUi that takes into account a history of the sloshing indices. The wear index is then compared to a threshold in order to indicate if the tank needs to be inspected, depending on the result of the comparison.

An outboard motor that has an actuator and a gear change mechanism. The outboard motor also comprises an operation position sensor that detects the operation position of an operation part, a shift position detection unit that detects the actual shift position of the gear shift mechanism, an actuator detection unit that detects the state of the actuator, and a control device. The control device performs failure determination or drive control of the actuator on the basis of at least two pieces of the detected information.

An outboard motor that has an actuator and a gear change mechanism. The outboard motor also comprises an operation position sensor that detects the operation position of an operation part, a shift position detection unit that detects the actual shift position of the gear shift mechanism, an actuator detection unit that detects the state of the actuator, and a control device. The control device performs failure determination or drive control of the actuator on the basis of at least two pieces of the detected information.

A system for determining mechanical failure in a boat, power sports vehicle, recreational vehicle or other asset system is provided comprising attaching one or more sensors to the asset system, using the one or more sensors to gather data regarding physical characteristics of the asset system, providing a dashboard configured to receive the data from the one or more sensors and transmit to devices upon request, providing a GPS device configured to collect and transmit data regarding asset characteristics, providing a server which is configured to receive the data regarding physical characteristics of the asset, store the data in a database, and make determinations of mechanical failures based on the data received from the one or more sensors, providing a mobile application configured to display information regarding the status, and sending out notifications.