Aiki na ƙaramin karamin Contact Nozzle Ablation a circuit breaker na sf6 na biyuwa da dama

Kadadda da Gwajiya na Tsuruwar Sifilu SF6 na Tsohon Tsirin

1. Asalin da Masana'antar Gwajin Daɗi

Akwai amfani da tsohon tsirin sifilu SF6 na biyu a cikin jihohin karamin zabe don inganta hanyar zuwa waɗannan zabe. Don inganta darajarinsa da kyakkyassansa, ana bukata a yi gaba-gaban da ƙarin gwajin a matsayin wata, a matsayin tsirin mai sauya, da kuma a tsohon sifilu. Wannan ƙarin gwajin yana neman don samun darajin gafara wannan abubuwan da kuma tabbatar da idan ya kamata a yi haruffa.

A tarihin, wannan ƙarin gwajin suna da addini:

• Tsakiyar Yawanci: Misali, ana bukata a yi gwaji a matsayin wata bayan shekaru 12 daga amfani da tsohon tsirin sifilu SF6 na biyu a matsayin wata.

• Ayyukan Karamin Zabe: Misali, ana bukata a yi gwaji bayan 2000 ayyukan karamin zabe.

• Ayyukan Karamin Zabe da Nuna: Misali, ana bukata a yi gwaji bayan 10 ayyukan karamin zabe da nuna.

• Addinin Gabas: Ana iya amfani da gabas daga cikin abubuwan da aka baka don samun daraja masu inganci.

Amma, a lokacin, wannan ƙarin gwajin da ke ciki da tsakiyar yawanci ko ayyukan karamin zabe suna nuna wasu mafi yawan addini. Idan wannan ƙarin gwajin sun taimakawa wajen inganta kyakkyassansa, ba su ba da shawarar da za a tabbatar da gafara mai ma'aifi a matsayin wata, a matsayin tsirin mai sauya, da kuma a tsohon sifilu. Duk da cewa, wannan ƙarin gwajin suna da nasarar, ba su ba da shawarar da za a tabbatar da gafara mai ma'aifi a matsayin wata, a matsayin tsirin mai sauya, da kuma a tsohon sifilu. A cikin haka, wannan ƙarin gwajin suna da nasarar, ba su ba da shawarar da za a tabbatar da gafara mai ma'aifi a matsayin wata, a matsayin tsirin mai sauya, da kuma a tsohon sifilu.

2. Dambarin Kirkiyar Aiki a Tsohon Tsirin

Kirkiyar aiki yana da muhimmanci wajen inganta aiki na tsohon tsirin. A lokacin da ake magance aiki na kirkiyar aiki, kirkiyar aiki yana iya damar parametos na tsohon tsirin. A cikin wannan, abubuwan da ake magance aiki na kirkiyar aiki yana iya damar parametos na tsohon tsirin. A cikin wannan, abubuwan da ake magance aiki na kirkiyar aiki yana iya damar parametos na tsohon tsirin. A cikin wannan, abubuwan da ake magance aiki na kirkiyar aiki yana iya damar parametos na tsohon tsirin. A cikin wannan, abubuwan da ake magance aiki na kirkiyar aiki yana iya damar parametos na tsohon tsirin.

• Zamantakar Kamar: Idan tsohon sifilu yana ci, tsakiyar kamar yana zama da take da take, wanda yake taimaka wajen koyar kirkiyar aiki.

• Zamantakar Tsakiyar Kamar: Idan tsohon sifilu yana ci, tsakiyar kamar yana zama da take da take, wanda yake taimaka wajen koyar kirkiyar aiki.

Saboda haka, wannan abubuwan da ake magance aiki na kirkiyar aiki yana da muhimmanci wajen inganta aiki na tsohon tsirin. A lokacin da ake magance aiki na kirkiyar aiki, abubuwan da ake magance aiki na kirkiyar aiki yana iya damar parametos na tsohon tsirin.

3. Tabbatar da Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki da Muhimmancinsa

Idan an tabbata damarrin abubuwan da ake magance aiki na kirkiyar aiki (misali, zamantakar tsakiyar kamar), da kuma a lura massomu, yana da muhimmanci wajen inganta aiki na tsohon tsirin. Tabbatar da damarrin abubuwan da ake magance aiki na kirkiyar aiki yana taimaka wajen samun daraja masu inganci da kuma yin fuskantar aiki na tsohon tsirin.

An tabbata damarrin abubuwan da ake magance aiki na kirkiyar aiki da haka:

• Gwaji na Turanci: Ta haka, ake magance tsohon tsirin da kuma a samun damarrin abubuwan da ake magance aiki na kirkiyar aiki. Wannan ƙarin gwajin yana da nasarar, amma babu shawarar da za a tabbatar da gafara mai ma'aifi a matsayin wata, a matsayin tsirin mai sauya, da kuma a tsohon sifilu.

• Abubuwan da Ba Sa Mata Su: An samun amfani da abubuwan da ba sa mata su, misali, infrared thermography da ultrasonic testing, wajen inganta aiki na tsohon tsirin. Wannan abubuwan yana taimaka wajen samun damarrin abubuwan da ake magance aiki na kirkiyar aiki ba ta koyar tsohon tsirin ba.

• Analisi na Bayanan da Modelon Mai Tabbatarwa: Idan an analisisi bayanan da aka samu a kan tsohon tsirin, da kuma a haɗa da modelon physics, an samun amfani da modelon mai tabbatarwa wajen tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki. Wannan ƙarin gwajin yana taimaka wajen koyar ƙarin gwajin da ba da shawarar da za a tabbatar da gafara mai ma'aifi a matsayin wata, a matsayin tsirin mai sauya, da kuma a tsohon sifilu.

4. Yadda Zan Samu a Bunu

Don inganta aiki na tsohon tsirin sifilu SF6, zan iya amfani da yanayin aiki da kuma abubuwan da ba sa mata su. Yanayin aiki da kuma abubuwan da ba sa mata su zan iya taimaka wajen samun damaja masu inganci da kuma yin fuskantar aiki na tsohon tsirin. Wannan ƙarin gwajin yana taimaka wajen koyar ƙarin gwajin da ba da shawarar da za a tabbatar da gafara mai ma'aifi a matsayin wata, a matsayin tsirin mai sauya, da kuma a tsohon sifilu.

Duk da cewa, zan iya amfani da abubuwan da ke da muhimmanci a fili da tsohon sifilu. Amfani da abubuwan da ke da muhimmanci a fili da tsohon sifilu zan iya taimaka wajen inganta aiki na tsohon tsirin, da kuma koyar damarrin abubuwan da ake magance aiki na kirkiyar aiki.

Yadda a Tabbatar Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki a Tsohon Tsirin Sifilu

1.Muhimmancin Tabbatar Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki

1.1 Yadda a Haɗa da Shiga Na Tabbatar Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki

An samun cewa abubuwan da ake magance aiki na kirkiyar aiki, wanda ke da muhimmanci a fili da tsohon sifilu, yana iya damar parametos na tsohon tsirin. Wannan yana iya taimaka wajen samun damaja masu inganci da kuma yin fuskantar aiki na tsohon tsirin.

• Zamantakar Tsakiyar Kamar: Idan tsohon sifilu yana ci, tsakiyar kamar yana zama da take da take, wanda yake taimaka wajen koyar kirkiyar aiki.

• Zamantakar Tsakiyar Kamar: Idan tsohon sifilu yana ci, tsakiyar kamar yana zama da take da take, wanda yake taimaka wajen koyar kirkiyar aiki.

Ta haka, an samun amfani da shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki, don samun damaja masu inganci da kuma yin fuskantar aiki na tsohon tsirin.

1.2 Yadda a Yi Samun Shiga na Tabbatar Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki

Don samun shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki, zan iya amfani da shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki a cikin tsohon tsirin. Wannan shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki zan iya taimaka wajen samun damaja masu inganci da kuma yin fuskantar aiki na tsohon tsirin.

• Samun Shiga na Tabbatar Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki a Matsayin Wata: A matsayin wata, an samun amfani da shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki, wanda ke taimaka wajen samun damaja masu inganci da kuma yin fuskantar aiki na tsohon tsirin.

• Samun Shiga na Tabbatar Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki a Matsayin Uku: A matsayin uku, an samun amfani da shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki, wanda ke taimaka wajen samun damaja masu inganci da kuma yin fuskantar aiki na tsohon tsirin.

Don samun shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki, zan iya amfani da shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki a cikin tsohon tsirin. Wannan shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki zan iya taimaka wajen samun damaja masu inganci da kuma yin fuskantar aiki na tsohon tsirin.

• Shiga na Tabbatar Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki Ba a Filta: Aka amfani da Fast Fourier Transform (FFT) wajen analisisi shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki ba a filta.

• Shiga na Tabbatar Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki Da a Filta: Aka amfani da 100 Hz low-pass filter wajen koyar abubuwan da suka fi kwaƙwa, da kuma a bincika kawai abubuwan da suka fi kwaƙwa.

Tambayar 1 da 2 sun nuna tarihin shiga na tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki, wanda ke taimaka wajen samun damaja masu inganci da kuma yin fuskantar aiki na tsohon tsirin.

2. Mahimmancin Tabbatar Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki Da Machine Learning

Don inganta mahimmancin tabbatar damarrin abubuwan da ake magance aiki na kirkiyar aiki, an samun amfani da machine learning algorithm based on the k-Nearest Neighbors (k-NN) method. Wannan ƙarin gwajin yana da muhimmanci wajen samun damaja masu inganci da kuma yin fuskantar aiki na tsohon tsirin.

• Feature Extraction: An samun amfani da key features from the pressure signals, such as peak and valley values, frequency components, etc. These features serve as input parameters for the machine learning algorithm.

• Model Training: The k-NN model is trained using known data on nozzle and electrode conditions. During training, the algorithm determines the nearest neighbors based on feature distances to perform classification.

• Classification of New Data: For new, unknown measurements, the trained model is used to classify the condition of the nozzles and electrodes.

This approach enables the assessment of nozzle ablation and other critical component conditions without opening the gas chamber, providing accurate maintenance recommendations and extending the lifespan of the circuit breaker.

Connection point with pressure sensor for nozzle ablation(photo from the source no 1)

Raw data of measurement at the main filling valve in original condition (blue), filtered signal (red)(photo from the source no 1)

Frequency spectrum of raw data in high voltage circuit breaker pressure method(photo from the source no 1)

Kadadda da Rike na Tabbatar Damarrin Abubuwan da Ake Magance aiki na Kirkiyar Aiki a Tsohon Tsirin Sifilu

1. Feature Extraction from Filtered and Unfiltered Pressure Signals

Several features can be derived from both filtered and unfiltered pressure signals. These features capture the unique characteristics of different measurement signals and are essential for identifying the condition of the nozzles. Due to the wide dispersion of these features, it is not feasible to directly match different ablation conditions with individual features. To address this challenge, the k-Nearest Neighbors (k-NN) algorithm is employed for evaluation.

The k-NN algorithm generates an n-dimensional vector for each measurement, where n represents the number of features. The distance between two vectors is calculated using the Euclidean distance, with an additional variance weighting to account for the variability in the data. This approach ensures that the algorithm can effectively distinguish between different ablation conditions based on the combined information from multiple features.

2. Advantages and Challenges of the Transient Pressure Method

The transient pressure method is advantageous because it can be easily implemented using existing filling valves to connect pressure sensors. However, one of the main challenges is the poor dispersion of state indicators (features), which makes it difficult to diagnose nozzle conditions accurately. To overcome this limitation, the feature scales were optimized through sensitivity analysis. While a single feature may not provide sufficient information for all cases, combining all seven features with the k-NN classification algorithm significantly improves diagnostic accuracy.

3. Evaluation of Classification Algorithms

Several classification algorithms were tested, and the results showed that the k-NN algorithm, using standard Euclidean distance, achieved the lowest error rate of less than 0.9% during cross-validation. This combination of features and the k-NN algorithm was then applied to classify field measurements for different types of circuit breakers. For the considered circuit breaker measurements, this approach was able to perform the classification without any errors.