A resilient bearing pad or support includes resilient material and a sensor that is configured to measure one or more of acceleration, velocity, variations in load, etc. of a mass supported by the bearing pad. The sensor may be configured to wirelessly transmit data for storage and/or evaluation. The data may be evaluated utilizing predefined criteria to detect and/or predict failure of the pad and/or a mass supported by the pad.

A pump monitoring apparatus comprises a computer. The computer includes a processor and a memory, and the computer executes; a waveform data acquisition section configured to acquire waveform data of a physical quantity indicating an operation state of a vacuum pump; a feature quantity acquisition section configured to acquire a feature quantity of the waveform data; a first mechanical learning section configured to cluster the waveform data based on the feature quantity; a second mechanical learning section configured to read a time-series data group of the clustered waveform data to output predicted waveform data; and an information providing section configured to provide information regarding replacement or maintenance of the vacuum pump based on the predicted waveform data.

In one embodiment, a tribometer comprises: an infrared (IR) transparent and optically transparent disk coupled to a platform, the disk having an observation side disk surface on an observation side of the disk and a contact side disk surface on a contact side of the disk; a motor coupled to the disk to rotate the disk around a rotational axis of the disk; a pivot support coupled to the platform; a pivoting member connected to the pivot support to pivot along a pivot plane; a sample holder configured to hold a sample and be coupled with the pivoting member to place the sample in contact with the contact side disk surface of the disk; and an IR camera and an optical microscope disposed on the observation side of the disk to observe the sample in sliding contact with the contact side disk surface of the disk driven in rotation.

In one embodiment, a tribometer comprises: an infrared (IR) transparent and optically transparent disk coupled to a platform, the disk having an observation side disk surface on an observation side of the disk and a contact side disk surface on a contact side of the disk; a motor coupled to the disk to rotate the disk around a rotational axis of the disk; a pivot support coupled to the platform; a pivoting member connected to the pivot support to pivot along a pivot plane; a sample holder configured to hold a sample and be coupled with the pivoting member to place the sample in contact with the contact side disk surface of the disk; and an IR camera and an optical microscope disposed on the observation side of the disk to observe the sample in sliding contact with the contact side disk surface of the disk driven in rotation.

A system and method for detecting buckled rail and for predicting a risk for rail buckling is disclosed. The method may comprise receiving data from a camera mounted on locomotive traveling on the railroad track. The data may include images of the buckled rail and dimensions of the buckled rail when the camera detects the buckled rail. The data may further include images of the ballast and condition of the ballast. The method may further comprise receiving data from a thermal camera mounted to the locomotive indicating the temperature of the rails. The method may further comprise transmitting an alarm signal to a display interface of a remote unit if the dimensions of the buckled rail meet a predetermined threshold, and predicting a risk for rail buckling based at least on the temperature of the rails and the condition of the ballast.

A system and method for detecting buckled rail and for predicting a risk for rail buckling is disclosed. The method may comprise receiving data from a camera mounted on locomotive traveling on the railroad track. The data may include images of the buckled rail and dimensions of the buckled rail when the camera detects the buckled rail. The data may further include images of the ballast and condition of the ballast. The method may further comprise receiving data from a thermal camera mounted to the locomotive indicating the temperature of the rails. The method may further comprise transmitting an alarm signal to a display interface of a remote unit if the dimensions of the buckled rail meet a predetermined threshold, and predicting a risk for rail buckling based at least on the temperature of the rails and the condition of the ballast.

In one embodiment, a tribometer comprises: an infrared (IR) transparent and optically transparent disk coupled to a platform, the disk having an observation side disk surface on an observation side of the disk and a contact side disk surface on a contact side of the disk; a motor coupled to the disk to rotate the disk around a rotational axis of the disk; a pivot support coupled to the platform; a pivoting member connected to the pivot support to pivot along a pivot plane; a sample holder configured to hold a sample and be coupled with the pivoting member to place the sample in contact with the contact side disk surface of the disk; and an IR camera and an optical microscope disposed on the observation side of the disk to observe the sample in sliding contact with the contact side disk surface of the disk driven in rotation.

In one embodiment, a tribometer comprises: an infrared (IR) transparent and optically transparent disk coupled to a platform, the disk having an observation side disk surface on an observation side of the disk and a contact side disk surface on a contact side of the disk; a motor coupled to the disk to rotate the disk around a rotational axis of the disk; a pivot support coupled to the platform; a pivoting member connected to the pivot support to pivot along a pivot plane; a sample holder configured to hold a sample and be coupled with the pivoting member to place the sample in contact with the contact side disk surface of the disk; and an IR camera and an optical microscope disposed on the observation side of the disk to observe the sample in sliding contact with the contact side disk surface of the disk driven in rotation.

A system, apparatus, and method for estimating remaining useful life of a bearing are provided. The method includes receiving a request for analyzing a defect in the bearing from a source. The request includes operational data associated with the bearing. An impact of the defect on the bearing is monitored over a period of time. A time period during which the impact of the defect on the bearing is higher than a threshold range is determined using a machine learning model. A severity of the impact associated with the defect is computed during the time period. A remaining useful life of the bearing is determined based on the severity and the operational data during the time period.

A system, apparatus, and method for estimating remaining useful life of a bearing are provided. The method includes receiving a request for analyzing a defect in the bearing from a source. The request includes operational data associated with the bearing. An impact of the defect on the bearing is monitored over a period of time. A time period during which the impact of the defect on the bearing is higher than a threshold range is determined using a machine learning model. A severity of the impact associated with the defect is computed during the time period. A remaining useful life of the bearing is determined based on the severity and the operational data during the time period.