Intelligent drive

• US 7,659,687 B2
• Filed: 06/10/2005
• Issued: 02/09/2010
• Est. Priority Date: 06/22/2004
• Status: Active Grant

• Current Assignee: Bosch Rexroth AG (Robert Bosch GmbH)
• Original Assignee: Bosch Rexroth AG (Robert Bosch GmbH)
• Inventors: Wahler, Matthias, Feistel, Christian, Schmitt, Alexander
• Primary Examiner(s): Ro; Bentsu
• Assistant Examiner(s): Paul; Antony M
• Application Number:
  US11/570,193
• Publication Number:
  US 20070182359A1
• Time in Patent Office: 1,705 Days
• Field of Search: 714/25, 714/100, 340/635, 340/679, 340/853.2, 702/59, 702/77, 702/127, 702/188, 702/182, 702/56, 702/183, 398/9, 318/565, 318/128, 318/727, 318/806
• US Class Current: 318/806
• CPC Class Codes: G05B 19/4065 Monitoring tool breakage, life or condition
• CPC Class Codes: G05B 2219/50308 Estimate wear from machining data and conditions
• CPC Class Codes: G05B 23/0264 Control of logging system, e.g. decision on which data to store; time-stamping measurements

Abstract

The invention relates to an electric drive (19) provided with a drive regulator (5), an electromotor (9) and a control device (3, 4, 7, 8) which is used to detect and monitor the threshold value of axis-relevant, electrical/mechanical operational state variables, and preventative error diagnosis. The control device (3, 4, 7, 8) comprises an additional monitoring device (6) which can analyze the operational state variables in order to recognize, at an earlier stage, possible deviations from tolerance ranges and to process the analysis results.

Claims

1. An electric drive (10), comprising:

a drive controller (5);

an electric motor (9); and

a control device (3, 4, 7, 8) configured to register and monitor threshold values of axis-based, electrical/mechanical operating state variables,

wherein the control device (3, 4, 7, 8) comprises additional monitoring (6) with analysis of the operating state variables for the early detection of possible deviations from predefinitions and conditioning of the analytical result, wherein the additional monitoring is active independently of the monitoring of the threshold values, such that said possible deviations from predefinitions and conditioning of the analytical result are detectable before the monitoring of the threshold values.

2. The device according to claim 1, wherein the operating state variables registered by means of electrical signals from sensors are subjected to signal conditioning by means of a signal filter.

3. The device according to claim 1, wherein the electrical signals of the operating state variables registered by means of sensors are analyzed in the time and/or frequency domain.

4. The device according to claim 2, wherein the sensors register movement-relevant and/or non-movement-relevant operating state variables.

5. The device according to claim 1, wherein the predefinitions are recorded by the drive and stored in the drive as reference values.

6. The device according to claim 1, wherein the analysis comprises long-term monitoring of operating state variables.

7. The device according to claim 1, wherein the conditioning generates fault messages assigned to the operating state variables.

8. The device according to claim 1, wherein the operating state variables comprise the axis position and/or the rotational speed and/or the motor winding temperature and/or the magnitude of the motor current and/or the level of the intermediate circuit voltage and/or acoustic signals such as structure-borne sound waves and/or the acceleration.

9. The device according to claim 1, wherein the analytical results can be displayed by means of an operating device (1) comprised by the drive or one connected to the drive.

10. The device according to claim 1 wherein the drive is incorporated within at least one technical process and communicates with at least one computer/computer assembly (2).

11. The device according to claim 1, wherein the drive can be freely programmed and/or freely configured, at least with respect to the fault detection.

12. The device according to claim 1, wherein the analytical results can be retrieved within the context of remote maintenance.