James Kuria Kimotho

Condition Monitoring of Bearing Damage in Electromechanical Drive Systems by Using Motor Current Signals of Electric Motors: A Benchmark Data Set for Data-Driven Classification

Christian Lessmeier, James Kuria Kimotho, Detmar Zimmer et al. · PHM Society European Conference · 2016 · 1.2K citations · Full text

Engineering, Electrical Engineering, Condition Assessment +16

PEM fuel cell prognostics using particle filter with model parameter adaptation

James Kuria Kimotho, Tobias Meyer, Walter Sextro · 2014 · 65 citations

Engineering, Chemical Engineering, Electrochemical Engineering +16

Multiple faults diagnosis for an industrial robot fuse quality test bench using deep-learning

Hosameldin Eltayeb A. Adam, James Kuria Kimotho, Jackson G. Njiri · Results in Engineering · 2023 · 39 citations · Full text

Computing, Computer Science, Industrial Engineering +17

Machinery Prognostic Method Based on Multi-Class Support Vector Machines and Hybrid Differential Evolution – Particle Swarm Optimization

James Kuria Kimotho, Christopher Sondermann-Wölke, Tobias Meyer et al. · DOAJ (DOAJ: Directory of Open Access Journals) · 2013 · 38 citations · Full text

Engineering, Computer Science, Industrial Engineering +17

An approach for feature extraction and selection from non-trending data for machinery prognosis

James Kuria Kimotho, Walter Sextro · PHM Society European Conference · 2014 · 34 citations · Full text

Engineering, Industrial Engineering, Condition Assessment +16