Abstract: A method of monitoring a conveyance apparatus within a conveyance system including: detecting a vibratory signature at a primary location during a commissioning phase using a primary sensing apparatus located at the primary location; detecting a vibratory signature at a secondary location during the commissioning phase using a secondary sensing apparatus located at the secondary location; determining a transfer algorithm in response to the vibratory signature at the primary location during the commissioning phase and the vibratory signature at the secondary location during the commissioning phase; detecting a vibratory signature at the primary location during a normal operation phase using the primary sensing apparatus located at the primary location; and converting the vibratory signature at the primary location during the normal operation phase to a vibratory signature at the secondary location during the normal operation phase using the transfer algorithm.

Abstract: According to an aspect, a method of elevator sensor system calibration includes collecting, by a computing system, a plurality of data from one or more sensors of an elevator sensor system while a calibration device applies a known excitation. The computing system compares an actual response to an expected response to the known excitation using a trained model. The computing system performs analytics model calibration to calibrate the trained model based on one or more response changes between the actual response and the expected response.

Abstract: A method of monitoring a conveyance apparatus within a conveyance system including: detecting a vibratory signature at a primary location during a commissioning phase using a primary sensing apparatus located at the primary location; detecting a vibratory signature at a secondary location during the commissioning phase using a secondary sensing apparatus located at the secondary location; determining a transfer algorithm in response to the vibratory signature at the primary location during the commissioning phase and the vibratory signature at the secondary location during the commissioning phase; detecting a vibratory signature at the primary location during a normal operation phase using the primary sensing apparatus located at the primary location; and converting the vibratory signature at the primary location during the normal operation phase to a vibratory signature at the secondary location during the normal operation phase using the transfer algorithm.

Abstract: A monitoring system includes one or more detection devices, a communication device, and an analytics system. The one or more detection devices generate, at a conveyance system, one or more data streams describing the ride of the conveyance system, where the data streams include at least one of vibration data and audio data. The communication device transmits sensor data based on the one or more data streams. The analytics system receives the sensor data from the communication device and, based on the sensor data, determines a ride quality of the conveyance system.

Abstract: According to an aspect, a method of elevator sensor system calibration includes collecting, by a computing system, a plurality of baseline sensor data from one or more sensors of an elevator sensor system as a field-site baseline response. The computing system compares the field-site baseline response to an experiment-site baseline response. The computing system performs analytics model calibration to produce a calibrated trained model for fault diagnostics and/or prognostics based on one or more response changes between the field-site baseline response and the experiment-site baseline response.

Abstract: According to an aspect, a method of elevator sensor system calibration includes collecting, by a computing system, a plurality of data from one or more sensors of an elevator sensor system while a calibration device applies a known excitation. The computing system compares an actual response to an expected response to the known excitation using a trained model. The computing system performs analytics model calibration to calibrate the trained model based on one or more response changes between the actual response and the expected response.