R. Paurobally

Mechanical Engineering · 2012

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 20 citations into it
• Biomedical Engineering — 13 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom R. Paurobally trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bernhard Sick
2. Krzysztof Jemielniak
3. Tugrul Özel
4. Cornie Scheffer
5. Roberto Teti
6. Yigit Karpat

Papers from R. Paurobally's perspective

Ordered by how strongly the researchers R. Paurobally trusts endorse each paper. Same corpus, a different order for every researcher.

1. ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF RESEARCH
2. Advanced monitoring of machining operations
3. Development of a tool wear-monitoring system for hard turning
4. Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results
5. Tool condition monitoring based on numerous signal features (The International Journal of Advanced Manufacturing Technology)
6. Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks
7. WEAR MONITORING IN TURNING OPERATIONS USING VIBRATION AND STRAIN MEASUREMENTS
8. Sensor and Data Fusion: A Tool for Information Assessment and Decision Making
9. Gradient calculations for dynamic recurrent neural networks: a survey
10. Handbook of Multisensor Data Fusion

Their papers

• A review of flank wear prediction methods for tool condition monitoring in a turning process (2012) — 320 citations
• A review of chatter vibration research in turning (2012) — 488 citations