Kenneth Day Daniel

US Patent:

20110282626, Nov 17, 2011

Filed:

May 12, 2011

Appl. No.:

13/106561

Inventors:

Michael Rikkola - , US
Donald Daniel - , US
Kenneth Daniel - Libertyville IL, US

International Classification:

G06F 17/18

US Classification:

702179

Abstract:

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.

US Patent:

20110282630, Nov 17, 2011

Filed:

May 12, 2011

Appl. No.:

13/106574

Inventors:

MICHAEL RIKKOLA - , US
KENNETH DANIEL - LIBERTYVILLE IL, US

International Classification:

G06F 15/00

US Classification:

702184

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.

US Patent:

20130190966, Jul 25, 2013

Filed:

Jan 23, 2013

Appl. No.:

13/747864

Inventors:

Kenneth J. Daniel - Libertyville IL, US
Ray Pan - Oak Creek WI, US
Michael J. Rikkola - New Berlin WI, US
Desheng Wang - Brookfield WI, US

Assignee:

HARNISCHFEGER TECHNOLOGIES, INC. - Wilmington DE

International Classification:

E02F 9/26

US Classification:

701 291

Abstract:

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.

US Patent:

20180335771, Nov 22, 2018

Filed:

Apr 5, 2018

Appl. No.:

15/946291

Inventors:

- Wilmington DE, US
Kenneth Daniel - Libertyville IL, US

International Classification:

G05B 23/02
G06F 21/55
G06K 9/00

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.

US Patent:

20170233985, Aug 17, 2017

Filed:

May 4, 2017

Appl. No.:

15/586364

Inventors:

- Wilmington DE, US
Kenneth J. Daniel - Libertyville IL, US
Ray Pan - Oak Creek WI, US
Michael J. Rikkola - New Berlin WI, US
Desheng Wang - Brookfield WI, US

International Classification:

E02F 9/26
G07C 5/00
G07C 5/08
E02F 9/20

Abstract:

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.