A seat monitoring system including one or more shoulder belt tension sensors and one or more buckle belt tension seniors configured to monitor the tension in a harness of a child safety seat. The seat monitoring system further includes a headrest position sensor for monitoring the position of a headrest. The seat monitoring system includes a motor for automatic tensioning of the shoulder belts and buckle belt. The seat monitoring system includes an I/O device for inputting child specifications. The I/O device includes a step-by-step guide for properly securing the child within the child safety seat.

The disclosed method measures a line angle of a mooring line connected to a floating object floating in a body of water, the mooring line being connected between the floating object and an anchoring body disposed in a bed of the body of water, in which the floating object is coupled to the mooring line by a line connector. The method includes: defining at least three data points each associated with a respective location on the mooring line; on the data points obtaining a value associated with the location on the mooring line; determining parameters of an equation describing an anchor line curve from the values associated with the location on the mooring line for the data points; calculating at a predetermined position on the mooring line a line angle of the mooring line from a derivative of the equation at the predetermined position based on the parameters.

The disclosed method measures a line angle of a mooring line connected to a floating object floating in a body of water, the mooring line being connected between the floating object and an anchoring body disposed in a bed of the body of water, in which the floating object is coupled to the mooring line by a line connector. The method includes: defining at least three data points each associated with a respective location on the mooring line; on the data points obtaining a value associated with the location on the mooring line; determining parameters of an equation describing an anchor line curve from the values associated with the location on the mooring line for the data points; calculating at a predetermined position on the mooring line a line angle of the mooring line from a derivative of the equation at the predetermined position based on the parameters.

There is a strap tension detector for detecting tension in a strap. A housing has an upper portion and a lower portion. The upper portion and lower portion are adapted to receive the strap. A strain beam is mounted to one of the upper portion and the lower portion. The strain beam is arranged at an angle to the strap to extend across the width of the strap when the strap is placed between the upper portion and the lower portion and extending through the first and second strap-receiving openings so that the strap bears on the strain beam when taut. A strain gauge is operatively connected to detect strain across the strain beam.

A system for monitoring the performance of a multi-stranded tensile member where a portion of the strands are concealed within a termination. The invention provides a monitoring system that allows the user to determine when one or more of the strands has degraded to a point of concern. In some embodiments the monitoring system depends on visual inspection and in other embodiments the monitoring system is automated.

Techniques are directed to a method and a device for monitoring a yarn tension of a running yarn in a yarn treatment process. To this end, the yarn tension of the yarn is continuously measured and the measurement signals for the yarn tension are compared with a threshold value of an admissible yarn tension. In the event of an inadmissible tolerance deviation of the measurement signals, a short-term signal path of the yarn tension is detected as a fault graph. In order to enable a fault diagnosis, the fault graph of the yarn tension is analyzed using a machine learning program. The fault graph is then allocated to one of the existing fault categories or to a new fault category. A device for this purpose may include a diagnosis unit, which cooperates accordingly with the yarn tension evaluation unit.

Techniques are directed to a method and a device for monitoring a yarn tension of a running yarn in a yarn treatment process. To this end, the yarn tension of the yarn is continuously measured and the measurement signals for the yarn tension are compared with a threshold value of an admissible yarn tension. In the event of an inadmissible tolerance deviation of the measurement signals, a short-term signal path of the yarn tension is detected as a fault graph. In order to enable a fault diagnosis, the fault graph of the yarn tension is analyzed using a machine learning program. The fault graph is then allocated to one of the existing fault categories or to a new fault category. A device for this purpose may include a diagnosis unit, which cooperates accordingly with the yarn tension evaluation unit.

The invention involves utilizing variable reluctance measurement technology (“VRMT”) sensors to monitor forces and stresses on drilling risers and riser towers. The tension monitoring system described herein includes an optimized configuration of variable reluctance measurement technology sensors, wherein the sensors have increased wire turns around each end of their C-cores or alternatively are mounted on mechanical amplifiers or both. An array of optimized variable reluctance measurement technology sensors can be configured at multiple points on a riser system. The VRMT sensors may be integrally attached to the risers or flexible joints for the risers, or may be installed on existing riser or flexible joint systems.

The invention involves utilizing variable reluctance measurement technology (“VRMT”) sensors to monitor forces and stresses on drilling risers and riser towers. The tension monitoring system described herein includes an optimized configuration of variable reluctance measurement technology sensors, wherein the sensors have increased wire turns around each end of their C-cores or alternatively are mounted on mechanical amplifiers or both. An array of optimized variable reluctance measurement technology sensors can be configured at multiple points on a riser system. The VRMT sensors may be integrally attached to the risers or flexible joints for the risers, or may be installed on existing riser or flexible joint systems.

A tension transducer (also known as a tension load cell) contains a strain gauge signal conditioner and a data interface to transfer calibrated tension data over a data connection. Integration of signal conditioning allows for reduced system infrastructure within the tension control system, as no external amplifier is required for the tension transducer load cell. This also provides remote calibration and monitoring of the load cell for error conditions, directly through the data interface, with no reliance on external amplifier hardware. Additional integrated sensor information is sampled, and made available over the data connection, which may be pertinent to the web process. This includes load cell force direction orientation, internal temperature, excitation voltage, and raw load cell small-signal output voltage. The signal conditioning and diagnostic capabilities of the apparatus and method can be applied to any load cell device, and is not limited to web tension transducer load cells.