Method for learning application shutdowns by finding characteristic signal shapes

US12296445B2 · kind B2 · utility

Assignee

• Robert Bosch GmbH · DE

Inventors

• Simon Erbele · Nufringen, DE
• Wolfgang Herberger · Stuttgart, DE

Key dates

• Filing date: Sep 23, 2020
• Grant date: May 13, 2025
• Expiry date: Sep 12, 2041

Classification

• Technology area (CPC B): Performing Operations; Transporting
• CPC primary: B25D2250/221
• WIPO field: Machine tools
• WIPO sector: Mechanical engineering

Abstract

The disclosure relates to a method for operating a handheld power tool comprising an electric motor and the method comprising: S1 providing comparative information, comprising: S1a providing at least one model signal shape, the model signal shape being assignable to progress of work of the handheld power tool; S1b providing a threshold value of correspondence; S2 ascertaining a signal of an operating variable of the electric motor; S3 comparing the signal of the operating variable with the model signal shape and ascertaining assessment of correspondence from the comparison, the assessment of correspondence at least partially taking place on the basis of the threshold value of correspondence; S4 detecting the progress of work at least partially on the basis of the assessment of correspondence ascertained in method step S3; the providing of the comparative information at least partially taking place on the basis of a learning process.