Abb Schweiz Ag

Ville Särkimäki

Teemu Tanila

Olli Alkkiomäki

Kalle Suomela

Zhongliang Hu

Timo Holopainen

Jari Jäppinen

Markku Niemelä

Joni Siimesjärvi

Olli Liukkonen

Olli Alkkiomáki

Juha Alamäki

To provide adaptiveness to data collected on an industrial automation device, a test is used for a specific need. A set of parameter values to be used during the test are temporary and send to the industrial automation device with an indication of a test. Before the test is run, existing parameter values are backed up, and they are restored after the test.

Collecting data on an industrial automation device

Disclosed herein is a method for predicting a faulty behaviour of an electrical converter. The method includes receiving an operation point indicator of the electrical converter indicative of an actual operation point of the electrical converter, where the electrical converter is connected to a rotating electrical machine; receiving a measured device temperature of a power semiconductor device of the electrical converter indicative of an actual temperature of the power semiconductor device; inputting the operation point indicator as input data into a machine learning algorithm trained with historical data comprising operation point indicators and associated device temperatures, where the historical data was recorded during normal operation of a power semiconductor device; estimating an estimated device temperature with the machine learning algorithm, where the estimated device temperature represents a device temperature during a normal operation; and predicting the faulty behaviour by comparing the estimated device temperature with the measured device temperature.

Prediction of faulty behaviour of a converter based on temperature estimation with machine learning algorithm

An arrangement for monitoring an antifriction bearing of a rotating shaft of a rotating electric machine. The arrangement includes: one or more capacitor electrodes to measure a capacitive shaft displacement parameter; one or more of the following additional measurement sensors; a microphone to measure a bearing noise parameter, a voltage sensor to measure a bearing current parameter, and/or an optical pyrometer to measure a shaft heat parameter; and one or more processors configured to evaluate a condition of the antifriction bearing based on the capacitive shaft displacement parameter and one or more of the following: the bearing noise parameter, the bearing current parameter, and/or the shaft heat parameter.

Arrangement for monitoring antifriction bearing of rotating shaft of rotating electric machine

Automated power conversion device operation and status data is received in a local terminal device. The operation and status data is forwarded from the local device to a remote device via a communications network. The remote device receives the operation and status data, and compares the received automated power conversion device operation and status data with automated power conversion device history data stored in a memory. Based on the comparing, the remote device generates a service recommendation for the automated power conversion device, Based on the generating, the remote device transmits the service recommendation to the local device via the communications network. The service recommendation is received in the local device. The local device displays the received service recommendation in to the user of the local device.

Communicating industrial device data in a communications system

A method comprises storing, in an automated power conversion device, operational information on the usage of the automated power conversion device, and information on user-adjustable parameter settings of the automated power conversion device. A local terminal device receives the operational information and the information on the user-adjustable parameter settings from the automated power conversion device, and forwards said information to a remote network node via a communications network. The received information is analyzed in the remote network node, and based on the analysis the remote network node generates a recommendation on an optimal set of user-adjustable parameters regarding the automated power conversion device. The generated recommendation is transmitted from the remote network node and received in the local terminal device.

Growing community of inventors

Espoo, Finland

Ville Särkimäki