Disclosed is a method for estimating the tension of a tension member (1), the method comprising the steps of exciting the tension member (1) such as to induce vibration of the tension member (1), sampling the vibration to obtain a first vibration signal (VS1), modifying the mass and/or the rotational inertia of the tension member (1) such as to provide a modified tension member (1a), exciting the modified tension member (1a) such as to induce vibration of the modified tension member (1a), sampling the vibration of the modified tension member to obtain a second vibration signal (VS2), and estimating the tension of the tension member based on a comparison of the first vibration signal (VS1) and the second vibration signal (VS2). Disclosed is also a system for estimating the tension of a tension member.

A method is provided for identifying or authenticating an object. The method includes vibrating the object at a plurality of frequencies. The vibrations from the object are sensed at each of the plurality of frequencies using an accelerometer. A vibration profile of the object is generated using the sensed vibrations. The generated vibration profile is then compared to a stored vibration profile. It is determined if the generated vibration profile matches the stored vibration profile. A match indicates that the object has been identified or authenticated. In another embodiment, an object capable of implementing the method is provided. In another embodiment, the object may include a replaceable accessary. In this case, the initial and generated vibration profiles may be created with the replacement accessary attached to the object. A match of the generated and initial vibration profiles indicates that the replaceable accessary is authentic.

A damage identification method based on cable force tests of a cable system and test error self-adaptive analysis is proposed to measure cable forces in prestressed steel structures and find out possible damage positions of the cable system. The method includes placing a laser velocimeter; measuring the vibration speed history data of the measuring point P on the cable by the laser velocimeter; calculating the cable force; calculating all the cable forces of the cable system through the same procedure; analyzing error between cables and finding out the possible damage of the cable or of the tie rod connected to the cable. The dynamic response characteristics of both in-plane and out-of-plane of a cable can be obtained through the method of the present invention. The self-verified more accurate results can be obtained, and the damage in a cable system can be determined according to error self-adaptive analysis.

A damage identification method based on cable force tests of a cable system and test error self-adaptive analysis is proposed to measure cable forces in prestressed steel structures and find out possible damage positions of the cable system. The method includes placing a laser velocimeter; measuring the vibration speed history data of the measuring point P on the cable by the laser velocimeter; calculating the cable force; calculating all the cable forces of the cable system through the same procedure; analyzing error between cables and finding out the possible damage of the cable or of the tie rod connected to the cable. The dynamic response characteristics of both in-plane and out-of-plane of a cable can be obtained through the method of the present invention. The self-verified more accurate results can be obtained, and the damage in a cable system can be determined according to error self-adaptive analysis.

A system and method for performing structural health monitoring on a structural element while it remains in service and experiences normal loading. The energy input to the element will be the normal and random energy inputs the element sees in service. The inventive system places an intelligent module at one or more points along the length of the structural element. The inventive system collects mass data from multiple modules on multiple elements. The system then applies machine learning or artificial intelligence techniques to detect changes in the measurements received from one or more modules. This approach reduces or eliminates the need to provide calibrated input energy. The invention preferably provides the ability to determine the condition of one element or sub-element under measurement relative to other elements.

There is provided an elevator rope tension measurement system that can reduce measurement error when the tension of the rope of an elevator is quantitatively measured. An elevator rope tension measurement system includes a vibration waveform collection unit configured to collect a vibration waveform of a rope of an elevator; and a frequency calculation unit configured to select, based on a measurement resolution calculated from a collection time period and a collection cycle for collecting the vibration waveform by the vibration waveform collection unit, a method for calculating a frequency of the vibration waveform collected by the vibration waveform collection unit.

A system for estimating tension in a post-tensioned rod is provided. The system includes an impact device for transversely-impacting a post-tensioned rod, an accelerometer configured to generate data indicative of a vibrational response in the post-tensioned rod, and a receiver communicatively coupled to the accelerometer. The receiver includes a display, at least one input device, a communication module, a processor, and one or more memory devices coupled to the processor. Instructions stored on the one or more memory devices, when executed by the processor, cause the processor to receiver the data indicative of a vibrational response in the post-tensioned rod, process the received data to determine a difference between a first and a second modal frequency corresponding to the vibrational response, and store the difference between a first and second modal frequency corresponding to the vibrational response. The receiver is configured to transmit the stored difference between a first and second modal frequency.

There is provided a building facility vibration measurement device that can easily ascertain whether specs are sufficient for measurement of vibration of a building facility. A building facility vibration measurement device includes: an acceleration detection unit configured to detect acceleration; an acceleration collection unit configured to collect the acceleration detected by the acceleration detection unit; an accuracy calculation unit configured to calculate detection accuracy of the acceleration from information on the acceleration collected by the acceleration collection unit; and a judgement unit configured to, based on the detection accuracy calculated by the accuracy calculation unit, judge whether vibration of a building facility can be measured.

A system and method of monitoring forces exerted at multiple locations on a mover includes multiple sensors, where each sensor is mounted at one of the locations. Each sensor detects an operating condition of the mover at the location on the mover at which it is mounted. The sensors may include accelerometers, strain gauges, or a combination thereof. Each strain gauge is mounted proximate to an area of interest on the mover. Each strain gauge generates a feedback signal corresponding to a deformation of the material measured at the location of the sensor. From the measured deformation of material, a force acting on the mover at the location of the sensor may be determined. The forces exerted at the different locations on the mover may be monitored in real time to determine bearing performance or monitored over a duration of time to observer changes in bearing performance over that duration.

A vibration processing apparatus (10) includes: an acquisition unit (110) that reads, from a vibration information storage unit (112), information needed for detecting an abnormality in a belt conveyor (20), the information being, for example, first detection data indicating a result of detecting a vibration at a first point of the belt conveyor (20), and second detection data indicating a result of detecting a vibration at a second point on a downstream side of the first point of the belt conveyor (20); and a determination unit (120) that determines that an abnormality occurs in the belt conveyor with a necessary condition or a necessary and sufficient condition that a result of comparing the first detection data and the second detection data satisfies a first reference.