Harnischfeger Technologies, Inc.

Joy Global Surface Mining Inc

Kenneth Daniel

Michael J Rikkola

Mark Emerson

Matthew R Collins

Ray Pan

Jose Torres

Desheng Wang

Donald Daniel

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.

Method and system for predicting failure of mining machine crowd system

A mining machine having a control system for operating the mining machine. The control system includes a vibration monitor. The mining machine further includes a sensor and a vibration control system. The sensor senses vibration of a component of the mining machine. The vibration control system determines when the mining machine is moving in a proper cycle, triggers acquisition of vibration sensor data from the sensor in response to determining that the mining machine is moving in the proper cycle, and outputs the vibration sensor data.

System and method for vibration monitoring of a mining machine

A mining machine including a power monitor, a sensor, and a monitoring module. The power monitor is configured to measure a received power, and generate a total power consumption data based on the received power. The sensor senses payload of the mining machine to generate payload data. The monitoring module includes non-transitory computer readable media for comparing the total power consumption data and the payload data to generate mining machine efficiency data, determining an operator performance comparing the mining machine efficiency data and the operator performance, determining, based on the comparison of the mining machine efficiency data and the operator performance, at least one selected from the group consisting of a bank difficulty and a bank digability, and outputting the at least one selected from the group consisting of the bank difficulty and the bank digability.

System and method for monitoring mining machine efficiency

Remote monitoring of machine alarms

A mining machine having a control system for operating the mining machine, the control system having a vibration monitor. The mining machine comprising a mining machine, a sensor sensing vibration of a component of the mining machine, and a vibration module. The vibration module determining when the mining machine is moving in a predetermined cycle, obtaining vibration sensor data from the sensor based on determining that the mining machine is moving in a predetermined cycle, processing the vibration sensor data to generate processed vibration data, and outputting the processed vibration data.

A mining machine comprising a power monitor sensing power consumption of the mining machine during a select time period to generate power consumption data; a sensor sensing payload of the mining machine during the select time period to generate payload data; and a monitoring module. The monitoring module including computer readable media for comparing the power consumption data and the payload data to generate shovel efficiency data, and outputting the shovel efficiency data.

Methods for decomposing event information for a machine are described. In one aspect, a method includes receiving event data identifying events associated with a machine on a first communications channel, and receiving trend data for the machine associated with the identified events on a second communications channel separate from the first communications channel. Systems and machine-readable media are also described.

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Libertyville, IL, United States of America

Kenneth Daniel