IP Library Patent Application 10776207
Patent Application
App. No. 10/776,207

Mobile remote monitoring and diagnostics and method

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Quick Facts
Patent No.
US None
App. No.
10/776,207
Abstract

A monitoring and diagnostics system for a fleet of rental power generation equipment utilizes a plurality of remote processors each operatively engaged with a respective power generation unit. The remote processors each include a plurality of sensors detecting operating data of the respective power generation unit. A managing processor receives the operating data from the plurality of remote processors and processes the operating data via an algorithm to determine a health status of the rental power generation fleet. In one arrangement, the fleet health status is configurable for presentation via the managing processor on a single display. In another arrangement, the managing processor processes the operating data via a predictive failure algorithm to determine the health status of the power generation equipment along with a failure prediction based on the received operating data.

Claims (22)

1 . A monitoring and diagnostics system for a fleet of rental power generation equipment, the monitoring and diagnostics system comprising:

a plurality of remote processors each operatively engaged with a respective power generation unit, the remote processors each including a plurality of sensors detecting operating data of the respective power generation unit; and

a managing processor receiving the operating data from the plurality of remote processors, the managing processor processing the operating data via an algorithm and determining a health status of the rental power generation fleet, wherein the fleet health status is configurable for presentation via the managing processor on a single display.

2 . A monitoring and diagnostics system according to claim 1 , wherein the remote processors each comprise a data transmission device transmitting the operating data to the managing processor.

3 . A monitoring and diagnostics system according to claim 2 , wherein the respective data transmission devices transmit the operating data to the managing processor in real time.

4 . A monitoring and diagnostics system according to claim 2 , wherein the data transmission device comprises a wired LAN connection via a server.

5 . A monitoring and diagnostics system according to claim 2 , wherein the data transmission device comprises a wireless LAN connection via a server.

6 . A monitoring and diagnostics system according to claim 2 , wherein the data transmission device comprises a cellular modem connection via a server.

7 . A monitoring and diagnostics system according to claim 1 , wherein the managing processor is programmed to run a predictive failure analysis based on the operating data of each of the power generation units.

8 . A monitoring and diagnostics system according to claim 1 , wherein the operating data comprises at least one of engine speed, coolant temperature, pressure, and hours of use.

9 . A method of monitoring and performing diagnostics on a fleet of rental power generation equipment, the method comprising:

(a) detecting operating data of the fleet of power generation equipment, the operating data being detected via a plurality of remote processors each operatively engaged with a respective power generation unit and each including a plurality of sensors;

(b) receiving the operating data from the plurality of remote processors via a managing processor;

(c) the managing processor processing the operating data via an algorithm; and

(d) determining a health status of the rental power generation fleet, wherein the fleet health status is configurable for presentation via the managing processor on a single display.

10 . A method according to claim 9 , wherein step (b) is practiced by transmitting, with a data transmission device for each of the remote processors, the operating data to the managing processor.

11 . A method according to claim 10 , wherein step (b) is further practiced in real time.

12 . A method according to claim 9 , further comprising the managing processor running a predictive failure analysis based on the operating data of each of the power generation units.

13 . A method according to claim 9 , wherein the operating data comprises at least one of engine speed, coolant temperature, pressure, and hours of use.

14 . A monitoring and diagnostics system for power generation equipment, the monitoring and diagnostics system comprising:

at least one remote processor operatively engaged with a power generation unit, the remote processor including a plurality of sensors detecting operating data of the power generation unit; and

a managing processor receiving the operating data from the remote processor, the managing processor processing the operating data via a predictive failure algorithm to determine a health status of the power generation equipment along with a failure prediction based on the received operating data.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 12, 2007
From: GENERAL ELECTRIC COMPANY
To: AGGREKO, LLC
Reel/Frame 019019/0258 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 12, 2004
From: FORNASIERO, GREGORY B.; DEGUTIS, CHRISTOPHER JOSEPH; TIBBETTS, STEVEN H.; CAMPION, EDMUND; JOHNSON, DAVID; DONNELLY, JOSEPH MICHAEL; HAYNES, ERIC; STOKE, TIMOTHY; POOL, ERIC
To: GENERAL ELECTRIC COMPANY
Reel/Frame 014986/0084 →