TOP DRIVE MONITORING SYSTEM
A system for monitoring a component part of a top drive in real time comprises a top drive, one or more operating sensors coupled to the top drive, and an onboard processing transceiver coupled to the top drive and in communication with the operating sensors. The operating sensors are configured to measure operational data of the top drive during operation. The onboard processing transceiver is configured to determine a remaining life of the component part.
1 . A system for monitoring a top dive in real time, comprising:
a top drive having a component part;
one or more operating sensors coupled to the top drive, wherein the operating sensors are configured to measure operational data of the top drive during operation;
a processing transceiver coupled to the top drive and in communication with the operating sensors, wherein the onboard processing transceiver is configured to calculate performance data of the top drive; and
a controller or cloud based system in communication with the processing transceiver and configured to predict failure of the component part based on the remaining life of the component part as calculated using the performance data.
2 . The system of claim 1 , wherein the processing transceiver comprises a first processing device configured to calculate stress data based on the operational data.
3 . The system of claim 2 , wherein the processing transceiver comprises a second processing device configured to calculate fatigue data and/or cumulative damage data based on the stress data.
4 . The system of claim 3 , wherein the controller or cloud based system are configured to calculate the remaining life of the component part based the fatigue data and/or cumulative damage data.
5 . The system of claim 1 , wherein the processing transceiver is configured to receive the operational data at a first frequency, process the operational data to calculate performance data, and transmit the performance data at a second frequency that is lower than the first frequency.
6 . The system of claim 5 , wherein the processing transceiver is configured to transmit the performance data at the second frequency to a human/machine interface, or the controller or cloud based system.
7 . The system of claim 1 , wherein the remaining life is output in the form of a graph indicating percentage of remaining life over time.
8 . The system of claim 1 , wherein the operating sensors are wired to the processing transceiver.
9 . The system of claim 1 , wherein the operational data includes operational history, loading conditions, and boundary conditions, wherein the operational history includes at least one of information on cycles of the equipment and operational hours of the equipment, wherein the loading conditions includes at least one of load, weight, stress, pressure, vibration, temperature, speed current, and voltage, and wherein the boundary conditions include at least one of orientation data, position data, and angle data.
10 . The system of claim 1 , wherein the processing transceiver is dedicated to the top drive such that the processing transceiver travels with the top drive.
11 . A method for monitoring a component part of a top drive in real time, comprising:
receiving operational data from one or more operating sensors that are coupled to the top drive;
calculating stress data based on the operational data;
calculating fatigue data and/or cumulative damage data based on the stress data, wherein the stress data and the fatigue data and/or cumulative damage data are calculated by a processing transceiver coupled to the top drive, wherein the operational data, the stress data, and the fatigue data and/or cumulative damage data are output in the form of performance data;
transmitting the performance data to a controller or cloud based system; and
predicting failure of the component part based on a remaining life of the component part as calculated using the performance data via the controller or cloud based system.
12 . The method of claim 11 , wherein the operational data includes operational history, loading conditions, and boundary conditions.
13 . The method of claim 12 , wherein the operational history includes at least one of information on cycles of the equipment and operational hours of the equipment.
14 . The method of claim 12 , wherein the loading conditions include at least one of load, weight, stress, pressure, vibration, temperature, speed, current, and voltage.
15 . The method of claim 12 , wherein the boundary conditions include at least one of orientation data, position data, and angle data.
16 . The method of claim 11 , further comprising transmitting the performance data and the remaining life a human/machine interface.
17 . The method of claim 11 , further comprising identifying the component part based on the performance data via the controller or cloud based system.
18 . The method of claim 11 , further comprising selecting a system model based on the performance data and comparing the performance data to the system model to calculate the remaining life of the component part.
19 . The method of claim 11 , further comprising controlling the operation of the top drive based on the performance data or the remaining life of the component part.
20 . The method of claim 11 , wherein the component part is a bearing, a gear, a motor, or a hydraulic system.