# Time–frequency methods for trend removal in electrochemical noise data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/time-frequency-methods-for-trend-removal-in-electrochemical-noise-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | A.M. Homborg,Tiedo Tinga,X. Zhang,E.P.M. van Westing,P.J. Oonincx,J.H.W. de Wit,J.M.C. Mol |
| Citations | 115 |
| DOI | 10.1016/j.electacta.2012.03.062 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2156620442 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Tiedo Tinga](https://scholariq.org/researchers/tiedo-tinga/)

## Paper primary topic

- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)

## Paper topics

- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Power Quality and Harmonics](https://scholariq.org/topics/power-quality-and-harmonics/)
- [Structural Health Monitoring Techniques](https://scholariq.org/topics/structural-health-monitoring-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.