Method and system for predicting failure of mining machine crowd system

Abstract

Methods for monitoring a machine are described. In one aspect, a method includes receiving information on a plurality of events associated with the machine, determining a severity value for at least one event of the plurality of events, the severity value based on at least one of a safety value, a hierarchy value, a time-to-repair value, and a cost-of-repair value, and outputting an alert includes the severity value if the severity value exceeds a predetermined threshold associated with the at least one event. Systems and machine-readable media are also described.

1 . A method of identifying bearing failures of crowd bearings of a crowd system of a mining machine with a processor that accounts for effects of ambient temperature, the method comprising:
 receiving, by the processor, crowd data indicating bearing temperatures of the crowd bearings sensed by at least one sensor arranged to sense the bearing temperatures;   determining, by the processor when the bearing temperatures reach a certain temperature to assess whether to identify an anomaly of bearing failure taking into account the effects of ambient temperature;   generating an alert indicating the anomaly of bearing failure based on the bearing temperatures reaching the certain temperature and the effects of the ambient temperature;   determining, with the processor, whether the bearing temperatures reach another specific temperature that is greater than the certain temperature; and   shutting down operation of the mining machine based on the bearing temperatures reaching the another specific temperature.   
     
     
         2 . The method according to  claim 1 , wherein the certain temperature is about 80 degrees Celsius. 
     
     
         3 . The method according to  claim 2 , wherein the another specific temperature is about 90 degrees Celsius. 
     
     
         4 . The method according to  claim 1 , further comprising transmitting the alert to a user, wherein the anomaly of bearing failure is for one or more of the crowd bearings. 
     
     
         5 . The method according to  claim 4 , wherein the alert is transmitted by at least one of a telephone call, voice notification, electronic message, text message, or instant message. 
     
     
         6 . A system for identifying a failure of crowd bearings of a crowd system of a mining machine with a processor that accounts for effects of ambient temperature, the system comprising:
 sensors for obtaining bearing temperatures of crowd bearings; and   a processor for receiving the bearing temperatures of the crowd bearings, the processor configured to:
 determine when the bearing temperatures reach a certain temperature to assess whether to identify an anomaly of the failure of the crowd bearings taking into account the effects of ambient temperature; 
 generate an alert indicating the anomaly based on the failure of the crowd bearings; 
 determine whether the bearing temperatures reach another specific temperature that is greater than the certain temperature; and 
 shut down operation of the mining machine based on the bearing temperatures reaching the another specific temperature. 
   
     
     
         7 . The system according to  claim 6 , wherein the certain temperature is about 80 degrees Celsius. 
     
     
         8 . The system according to  claim 7 , wherein the another specific temperature is about 90 degrees Celsius. 
     
     
         9 . The system according to  claim 7 , wherein the processor is configured to transmit the alert to a user, and wherein the anomaly of bearing failure is for one or more of the crowd bearings. 
     
     
         10 . The system according to  claim 9 , wherein the alert is transmitted by at least one of a telephone call, voice notification, electronic message, text message, or instant message.