Abstract: Disclosed herein are systems, methods, and computer-readable media for cable analysis and monitoring systems. In one aspect, the method includes obtaining from a plurality of sensors sensor data that includes a plurality of sensor measurements associated with a cable. In one aspect, the method includes storing the sensor data in a database. Each respective sensor measurement of the plurality of sensor measurements is associated with a group identifier included in a set of group identifiers. In one aspect, the method includes retrieving for each selected type of one or more selected types of sensor measurements, a set of time series sensor measurements of the selected type. In one aspect, the method includes determining based on the sets of time series sensor measurements one or more warning events associated with the cable. In one aspect, the method includes automatically generating one or more remediation actions for remediating the warning event.

Abstract: The present disclosure is directed to systems and techniques for determining tension or loading of a cable based on vibration of the cable. For example, a method can include obtaining accelerometer measurements from one or more accelerometers associated with a cable. Based on the accelerometer measurements, a vibration state of the cable can be determined. An estimated loading associated with the cable can be determined based on the vibration state of the cable. For example, generating the estimated loading associated with the cable can be based on determining one or more changes in the vibration state of the cable. The estimated loading can be indicative of a tension of the cable. The estimated loading can be a magnitude value, a delta value, or a time-based value, among others. The estimated loading can be determined from accelerometers that are separate from the load path of the cable.

Abstract: 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.