Advanced Methods for Monitoring and Fault Diagnosis of Control Loops in Common Rail Systems Article Swipe
Riccardo Bacci di Capaci
,
Gabriele Pannocchia
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/pr12112371
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/pr12112371
Common rail systems are a key component of modern diesel engines and highly increase their performance. During their working lifetime, there could be critical damages or failures related to aging, like backlash or friction, or out-of-spec operating conditions, like low-quality fuel with, e.g., the presence of water or particles or a high percentage of biodiesel. In this work, suitable data-driven methods are adopted to develop an automatic procedure to monitor, diagnose, and estimate some types of faults in common rail systems. In particular, the pressure control loop operating within the engine control unit is investigated; the system is described using a Hammerstein model composed of a nonlinear model for the control valve behavior and an extended linear model for the process dynamics, which also accounts for the presence of external disturbances. Three different sources of oscillations can be successfully detected and quantified: valve stiction, aggressive controller tuning, and external disturbance. Selected case studies are used to demonstrate the effectiveness of the developed methodology.
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Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.3390/pr12112371
- OA Status
- gold
- Cited By
- 1
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4403875204Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/pr12112371Digital Object Identifier
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Advanced Methods for Monitoring and Fault Diagnosis of Control Loops in Common Rail SystemsWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-10-29Full publication date if available
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Riccardo Bacci di Capaci, Gabriele PannocchiaList of authors in order
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https://doi.org/10.3390/pr12112371Publisher landing page
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goldOpen access status per OpenAlex
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Fault (geology), Common rail, Control (management), Computer science, Reliability engineering, Control engineering, Engineering, Automotive engineering, Geology, Artificial intelligence, Seismology, Diesel engineTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.diagnose, | 70 |
| abstract_inverted_index.different | 132 |
| abstract_inverted_index.dynamics, | 121 |
| abstract_inverted_index.friction, | 33 |
| abstract_inverted_index.lifetime, | 19 |
| abstract_inverted_index.nonlinear | 106 |
| abstract_inverted_index.operating | 36, 87 |
| abstract_inverted_index.particles | 48 |
| abstract_inverted_index.procedure | 67 |
| abstract_inverted_index.stiction, | 143 |
| abstract_inverted_index.aggressive | 144 |
| abstract_inverted_index.biodiesel. | 54 |
| abstract_inverted_index.controller | 145 |
| abstract_inverted_index.percentage | 52 |
| abstract_inverted_index.Hammerstein | 101 |
| abstract_inverted_index.conditions, | 37 |
| abstract_inverted_index.data-driven | 59 |
| abstract_inverted_index.demonstrate | 156 |
| abstract_inverted_index.low-quality | 39 |
| abstract_inverted_index.out-of-spec | 35 |
| abstract_inverted_index.particular, | 82 |
| abstract_inverted_index.quantified: | 141 |
| abstract_inverted_index.disturbance. | 149 |
| abstract_inverted_index.methodology. | 162 |
| abstract_inverted_index.oscillations | 135 |
| abstract_inverted_index.performance. | 15 |
| abstract_inverted_index.successfully | 138 |
| abstract_inverted_index.disturbances. | 130 |
| abstract_inverted_index.effectiveness | 158 |
| abstract_inverted_index.investigated; | 94 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5014734668 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I108290504 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.53426124 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |